Survival Analysis
A class of statistical procedures for estimating the survival function (function of time, starting with a population 100% well at a given time and providing the percentage of the population still well at later times). The survival analysis is then used for making inferences about the effects of treatments, prognostic factors, exposures, and other covariates on the function.
Survival Rate
Cell Survival
Kaplan-Meier Estimate
A nonparametric method of compiling LIFE TABLES or survival tables. It combines calculated probabilities of survival and estimates to allow for observations occurring beyond a measurement threshold, which are assumed to occur randomly. Time intervals are defined as ending each time an event occurs and are therefore unequal. (From Last, A Dictionary of Epidemiology, 1995)
Disease-Free Survival
Prognosis
Proportional Hazards Models
Survival
Retrospective Studies
Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons.
Treatment Outcome
Follow-Up Studies
Neoplasm Staging
Graft Survival
Multivariate Analysis
Risk Factors
Cohort Studies
Studies in which subsets of a defined population are identified. These groups may or may not be exposed to factors hypothesized to influence the probability of the occurrence of a particular disease or other outcome. Cohorts are defined populations which, as a whole, are followed in an attempt to determine distinguishing subgroup characteristics.
Tumor Markers, Biological
Molecular products metabolized and secreted by neoplastic tissue and characterized biochemically in cells or body fluids. They are indicators of tumor stage and grade as well as useful for monitoring responses to treatment and predicting recurrence. Many chemical groups are represented including hormones, antigens, amino and nucleic acids, enzymes, polyamines, and specific cell membrane proteins and lipids.
Prospective Studies
Immunohistochemistry
Predictive Value of Tests
In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.
Age Factors
Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time.
Neoplasm Recurrence, Local
Registries
Life Tables
Disease Progression
Lymphatic Metastasis
Combined Modality Therapy
Antineoplastic Combined Chemotherapy Protocols
Risk Assessment
Incidence
Tissue Array Analysis
Brain Neoplasms
Neoplasms of the intracranial components of the central nervous system, including the cerebral hemispheres, basal ganglia, hypothalamus, thalamus, brain stem, and cerebellum. Brain neoplasms are subdivided into primary (originating from brain tissue) and secondary (i.e., metastatic) forms. Primary neoplasms are subdivided into benign and malignant forms. In general, brain tumors may also be classified by age of onset, histologic type, or presenting location in the brain.
Chemotherapy, Adjuvant
Prosthesis Failure
Carcinoma, Squamous Cell
Carcinoma
Neoplasm Grading
Colorectal Neoplasms
Neoplasm Metastasis
Gene Expression Regulation, Neoplastic
Regression Analysis
Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.
Apoptosis
One of the mechanisms by which CELL DEATH occurs (compare with NECROSIS and AUTOPHAGOCYTOSIS). Apoptosis is the mechanism responsible for the physiological deletion of cells and appears to be intrinsically programmed. It is characterized by distinctive morphologic changes in the nucleus and cytoplasm, chromatin cleavage at regularly spaced sites, and the endonucleolytic cleavage of genomic DNA; (DNA FRAGMENTATION); at internucleosomal sites. This mode of cell death serves as a balance to mitosis in regulating the size of animal tissues and in mediating pathologic processes associated with tumor growth.
Reoperation
Longitudinal Studies
Ovarian Neoplasms
Carcinoma, Non-Small-Cell Lung
Sex Factors
Maleness or femaleness as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or effect of a circumstance. It is used with human or animal concepts but should be differentiated from SEX CHARACTERISTICS, anatomical or physiological manifestations of sex, and from SEX DISTRIBUTION, the number of males and females in given circumstances.
Models, Statistical
SEER Program
A cancer registry mandated under the National Cancer Act of 1971 to operate and maintain a population-based cancer reporting system, reporting periodically estimates of cancer incidence and mortality in the United States. The Surveillance, Epidemiology, and End Results (SEER) Program is a continuing project of the National Cancer Institute of the National Institutes of Health. Among its goals, in addition to assembling and reporting cancer statistics, are the monitoring of annual cancer incident trends and the promoting of studies designed to identify factors amenable to cancer control interventions. (From National Cancer Institute, NIH Publication No. 91-3074, October 1990)
Biostatistics
Neoplasms
Cause of Death
Analysis of Variance
Chi-Square Distribution
A distribution in which a variable is distributed like the sum of the squares of any given independent random variable, each of which has a normal distribution with mean of zero and variance of one. The chi-square test is a statistical test based on comparison of a test statistic to a chi-square distribution. The oldest of these tests are used to detect whether two or more population distributions differ from one another.
Carcinoma, Hepatocellular
A primary malignant neoplasm of epithelial liver cells. It ranges from a well-differentiated tumor with EPITHELIAL CELLS indistinguishable from normal HEPATOCYTES to a poorly differentiated neoplasm. The cells may be uniform or markedly pleomorphic, or form GIANT CELLS. Several classification schemes have been suggested.
Ki-67 Antigen
Glioblastoma
A malignant form of astrocytoma histologically characterized by pleomorphism of cells, nuclear atypia, microhemorrhage, and necrosis. They may arise in any region of the central nervous system, with a predilection for the cerebral hemispheres, basal ganglia, and commissural pathways. Clinical presentation most frequently occurs in the fifth or sixth decade of life with focal neurologic signs or seizures.
Radiotherapy, Adjuvant
Age of Onset
Kidney Failure, Chronic
The end-stage of CHRONIC RENAL INSUFFICIENCY. It is characterized by the severe irreversible kidney damage (as measured by the level of PROTEINURIA) and the reduction in GLOMERULAR FILTRATION RATE to less than 15 ml per min (Kidney Foundation: Kidney Disease Outcome Quality Initiative, 2002). These patients generally require HEMODIALYSIS or KIDNEY TRANSPLANTATION.
Gene Expression Profiling
Risk
Melanoma
A malignant neoplasm derived from cells that are capable of forming melanin, which may occur in the skin of any part of the body, in the eye, or, rarely, in the mucous membranes of the genitalia, anus, oral cavity, or other sites. It occurs mostly in adults and may originate de novo or from a pigmented nevus or malignant lentigo. Melanomas frequently metastasize widely, and the regional lymph nodes, liver, lungs, and brain are likely to be involved. The incidence of malignant skin melanomas is rising rapidly in all parts of the world. (Stedman, 25th ed; from Rook et al., Textbook of Dermatology, 4th ed, p2445)
Severity of Illness Index
Actuarial Analysis
The application of probability and statistical methods to calculate the risk of occurrence of any event, such as onset of illness, recurrent disease, hospitalization, disability, or death. It may include calculation of the anticipated money costs of such events and of the premiums necessary to provide for payment of such costs.
Signal Transduction
The intracellular transfer of information (biological activation/inhibition) through a signal pathway. In each signal transduction system, an activation/inhibition signal from a biologically active molecule (hormone, neurotransmitter) is mediated via the coupling of a receptor/enzyme to a second messenger system or to an ion channel. Signal transduction plays an important role in activating cellular functions, cell differentiation, and cell proliferation. Examples of signal transduction systems are the GAMMA-AMINOBUTYRIC ACID-postsynaptic receptor-calcium ion channel system, the receptor-mediated T-cell activation pathway, and the receptor-mediated activation of phospholipases. Those coupled to membrane depolarization or intracellular release of calcium include the receptor-mediated activation of cytotoxic functions in granulocytes and the synaptic potentiation of protein kinase activation. Some signal transduction pathways may be part of larger signal transduction pathways; for example, protein kinase activation is part of the platelet activation signal pathway.
Postoperative Complications
Mutation
Strongylida
Cisplatin
An inorganic and water-soluble platinum complex. After undergoing hydrolysis, it reacts with DNA to produce both intra and interstrand crosslinks. These crosslinks appear to impair replication and transcription of DNA. The cytotoxicity of cisplatin correlates with cellular arrest in the G2 phase of the cell cycle.
Pancreatic Neoplasms
Tumors or cancer of the PANCREAS. Depending on the types of ISLET CELLS present in the tumors, various hormones can be secreted: GLUCAGON from PANCREATIC ALPHA CELLS; INSULIN from PANCREATIC BETA CELLS; and SOMATOSTATIN from the SOMATOSTATIN-SECRETING CELLS. Most are malignant except the insulin-producing tumors (INSULINOMA).
Cementation
The joining of objects by means of a cement (e.g., in fracture fixation, such as in hip arthroplasty for joining of the acetabular component to the femoral component). In dentistry, it is used for the process of attaching parts of a tooth or restorative material to a natural tooth or for the attaching of orthodontic bands to teeth by means of an adhesive.
Neoadjuvant Therapy
Cyclophosphamide
Precursor of an alkylating nitrogen mustard antineoplastic and immunosuppressive agent that must be activated in the LIVER to form the active aldophosphamide. It has been used in the treatment of LYMPHOMA and LEUKEMIA. Its side effect, ALOPECIA, has been used for defleecing sheep. Cyclophosphamide may also cause sterility, birth defects, mutations, and cancer.
Comorbidity
The presence of co-existing or additional diseases with reference to an initial diagnosis or with reference to the index condition that is the subject of study. Comorbidity may affect the ability of affected individuals to function and also their survival; it may be used as a prognostic indicator for length of hospital stay, cost factors, and outcome or survival.
Fluorouracil
Immunoenzyme Techniques
Receptor, erbB-2
A cell surface protein-tyrosine kinase receptor that is overexpressed in a variety of ADENOCARCINOMAS. It has extensive homology to and heterodimerizes with the EGF RECEPTOR, the ERBB-3 RECEPTOR, and the ERBB-4 RECEPTOR. Activation of the erbB-2 receptor occurs through heterodimer formation with a ligand-bound erbB receptor family member.
Treatment Failure
Tumor Suppressor Protein p53
Drug Administration Schedule
Databases, Factual
Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references.
Neoplasm Proteins
Proteins whose abnormal expression (gain or loss) are associated with the development, growth, or progression of NEOPLASMS. Some neoplasm proteins are tumor antigens (ANTIGENS, NEOPLASM), i.e. they induce an immune reaction to their tumor. Many neoplasm proteins have been characterized and are used as tumor markers (BIOMARKERS, TUMOR) when they are detectable in cells and body fluids as monitors for the presence or growth of tumors. Abnormal expression of ONCOGENE PROTEINS is involved in neoplastic transformation, whereas the loss of expression of TUMOR SUPPRESSOR PROTEINS is involved with the loss of growth control and progression of the neoplasm.
Reverse Transcriptase Polymerase Chain Reaction
Data Interpretation, Statistical
Doxorubicin
Tumor Burden
Remission Induction
Statistics, Nonparametric
A class of statistical methods applicable to a large set of probability distributions used to test for correlation, location, independence, etc. In most nonparametric statistical tests, the original scores or observations are replaced by another variable containing less information. An important class of nonparametric tests employs the ordinal properties of the data. Another class of tests uses information about whether an observation is above or below some fixed value such as the median, and a third class is based on the frequency of the occurrence of runs in the data. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed, p1284; Corsini, Concise Encyclopedia of Psychology, 1987, p764-5)
Logistic Models
Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.
Receptors, Estrogen
Graft Rejection
Glioma
Benign and malignant central nervous system neoplasms derived from glial cells (i.e., astrocytes, oligodendrocytes, and ependymocytes). Astrocytes may give rise to astrocytomas (ASTROCYTOMA) or glioblastoma multiforme (see GLIOBLASTOMA). Oligodendrocytes give rise to oligodendrogliomas (OLIGODENDROGLIOMA) and ependymocytes may undergo transformation to become EPENDYMOMA; CHOROID PLEXUS NEOPLASMS; or colloid cysts of the third ventricle. (From Escourolle et al., Manual of Basic Neuropathology, 2nd ed, p21)
Oligonucleotide Array Sequence Analysis
Renal Dialysis
Liver Transplantation
ROC Curve
Patient Dropouts
Breeding
Transplantation, Homologous
Genotype
Receptors, Progesterone
Specific proteins found in or on cells of progesterone target tissues that specifically combine with progesterone. The cytosol progesterone-receptor complex then associates with the nucleic acids to initiate protein synthesis. There are two kinds of progesterone receptors, A and B. Both are induced by estrogen and have short half-lives.
Case-Control Studies
Studies which start with the identification of persons with a disease of interest and a control (comparison, referent) group without the disease. The relationship of an attribute to the disease is examined by comparing diseased and non-diseased persons with regard to the frequency or levels of the attribute in each group.
Carcinoma, Renal Cell
Inhalant Abuse
Head and Neck Neoplasms
Soft tissue tumors or cancer arising from the mucosal surfaces of the LIP; oral cavity; PHARYNX; LARYNX; and cervical esophagus. Other sites included are the NOSE and PARANASAL SINUSES; SALIVARY GLANDS; THYROID GLAND and PARATHYROID GLANDS; and MELANOMA and non-melanoma skin cancers of the head and neck. (from Holland et al., Cancer Medicine, 4th ed, p1651)
Biological Markers
Measurable and quantifiable biological parameters (e.g., specific enzyme concentration, specific hormone concentration, specific gene phenotype distribution in a population, presence of biological substances) which serve as indices for health- and physiology-related assessments, such as disease risk, psychiatric disorders, environmental exposure and its effects, disease diagnosis, metabolic processes, substance abuse, pregnancy, cell line development, epidemiologic studies, etc.
Bile Ducts, Intrahepatic
Macau
Osteosarcoma
Prednisone
Astrocytoma
Neoplasms of the brain and spinal cord derived from glial cells which vary from histologically benign forms to highly anaplastic and malignant tumors. Fibrillary astrocytomas are the most common type and may be classified in order of increasing malignancy (grades I through IV). In the first two decades of life, astrocytomas tend to originate in the cerebellar hemispheres; in adults, they most frequently arise in the cerebrum and frequently undergo malignant transformation. (From Devita et al., Cancer: Principles and Practice of Oncology, 5th ed, pp2013-7; Holland et al., Cancer Medicine, 3d ed, p1082)
Reproducibility of Results
The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.
Randomized Controlled Trials as Topic
RNA, Messenger
RNA sequences that serve as templates for protein synthesis. Bacterial mRNAs are generally primary transcripts in that they do not require post-transcriptional processing. Eukaryotic mRNA is synthesized in the nucleus and must be exported to the cytoplasm for translation. Most eukaryotic mRNAs have a sequence of polyadenylic acid at the 3' end, referred to as the poly(A) tail. The function of this tail is not known for certain, but it may play a role in the export of mature mRNA from the nucleus as well as in helping stabilize some mRNA molecules by retarding their degradation in the cytoplasm.
Survivors
Life Expectancy
Lymph Nodes
France
Patient Selection
Sarcoma
Blotting, Western
Bias (Epidemiology)
Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.
Confidence Intervals
Proto-Oncogene Proteins
Epidemiologic Methods
Clinical Trials as Topic
Works about pre-planned studies of the safety, efficacy, or optimum dosage schedule (if appropriate) of one or more diagnostic, therapeutic, or prophylactic drugs, devices, or techniques selected according to predetermined criteria of eligibility and observed for predefined evidence of favorable and unfavorable effects. This concept includes clinical trials conducted both in the U.S. and in other countries.
Spain
Chemoembolization, Therapeutic
Drug Therapy, Combination
Cells, Cultured
Statistical Distributions
The complete summaries of the frequencies of the values or categories of a measurement made on a group of items, a population, or other collection of data. The distribution tells either how many or what proportion of the group was found to have each value (or each range of values) out of all the possible values that the quantitative measure can have.
Lymph Node Excision
Models, Biological
HIV Infections
Age Distribution
Odds Ratio
The ratio of two odds. The exposure-odds ratio for case control data is the ratio of the odds in favor of exposure among cases to the odds in favor of exposure among noncases. The disease-odds ratio for a cohort or cross section is the ratio of the odds in favor of disease among the exposed to the odds in favor of disease among the unexposed. The prevalence-odds ratio refers to an odds ratio derived cross-sectionally from studies of prevalent cases.
Pregnancy
Multiple Myeloma
A malignancy of mature PLASMA CELLS engaging in monoclonal immunoglobulin production. It is characterized by hyperglobulinemia, excess Bence-Jones proteins (free monoclonal IMMUNOGLOBULIN LIGHT CHAINS) in the urine, skeletal destruction, bone pain, and fractures. Other features include ANEMIA; HYPERCALCEMIA; and RENAL INSUFFICIENCY.
Multicenter Studies as Topic
Carcinoma, Ductal, Breast
Dose-Response Relationship, Drug
Sensitivity and Specificity
Endometrial Neoplasms
Endpoint Determination
Gastrectomy
Tumor Suppressor Proteins
Up-Regulation
Algorithms
Lymphoma, Large B-Cell, Diffuse
Malignant lymphoma composed of large B lymphoid cells whose nuclear size can exceed normal macrophage nuclei, or more than twice the size of a normal lymphocyte. The pattern is predominantly diffuse. Most of these lymphomas represent the malignant counterpart of B-lymphocytes at midstage in the process of differentiation.
European Continental Ancestry Group
Outcome Assessment (Health Care)
Immunosuppressive Agents
Agents that suppress immune function by one of several mechanisms of action. Classical cytotoxic immunosuppressants act by inhibiting DNA synthesis. Others may act through activation of T-CELLS or by inhibiting the activation of HELPER CELLS. While immunosuppression has been brought about in the past primarily to prevent rejection of transplanted organs, new applications involving mediation of the effects of INTERLEUKINS and other CYTOKINES are emerging.
Hematopoietic stem-cell transplantation for the treatment of severe combined immunodeficiency. (1/24672)
BACKGROUND: Since 1968 it has been known that bone marrow transplantation can ameliorate severe combined immunodeficiency, but data on the long-term efficacy of this treatment are limited. We prospectively studied immunologic function in 89 consecutive infants with severe combined immunodeficiency who received hematopoietic stem-cell transplants at Duke University Medical Center between May 1982 and September 1998. METHODS: Serum immunoglobulin levels and lymphocyte phenotypes and function were assessed and genetic analyses performed according to standard methods. Bone marrow was depleted of T cells by agglutination with soybean lectin and by sheep-erythrocyte rosetting before transplantation. RESULTS: Seventy-seven of the infants received T-cell-depleted, HLA-haploidentical parental marrow, and 12 received HLA-identical marrow from a related donor; 3 of the recipients of haploidentical marrow also received placental-blood transplants from unrelated donors. Except for two patients who received placental blood, none of the recipients received chemotherapy before transplantation or prophylaxis against graft-versus-host disease. Of the 89 infants, 72 (81 percent) were still alive 3 months to 16.5 years after transplantation, including all of the 12 who received HLA-identical marrow, 60 of the 77 (78 percent) who were given haploidentical marrow, and 2 of the 3 (67 percent) who received both haploidentical marrow and placental blood. T-cell function became normal within two weeks after transplantation in the patients who received unfractionated HLA-identical marrow but usually not until three to four months after transplantation in those who received T-cell-depleted marrow. At the time of the most recent evaluation, all but 4 of the 72 survivors had normal T-cell function, and all the T cells in their blood were of donor origin. B-cell function remained abnormal in many of the recipients of haploidentical marrow. In 26 children (5 recipients of HLA-identical marrow and 21 recipients of haploidentical marrow) between 2 percent and 100 percent of B cells were of donor origin. Forty-five of the 72 children were receiving intravenous immune globulin. CONCLUSIONS: Transplantation of marrow from a related donor is a life-saving and life-sustaining treatment for patients with any type of severe combined immunodeficiency, even when there is no HLA-identical donor. (+info)Optimal thrombolytic strategies for acute myocardial infarction--bolus administration. (2/24672)
Optimal strategies for thrombolysis in myocardial infarction (TIMI) are still being sought because the TIMI 3 flow rates achievable using standard regimens average approximately 60%. Double bolus administration of recombinant tissue plasminogen activator (tPA) is a novel approach with potential for earlier patency combined with ease of administration. We reviewed total patency rates, TIMI 3 patency rates, mortality, stroke and intracranial haemorrhage rates in the major trials of accelerated infusion tPA/bolus tPA/reteplase in acute myocardial infarction. A direct comparison was performed with results of two recent trials of double bolus (two 50 mg boli, 30 min apart) vs. accelerated infusion tPA: the Double Bolus Lytic Efficacy Trial (DBLE), an angiographic study, and the COBALT Trial, a mortality study. The DBLE trial showed equivalent patency rates for accelerated infusion and double bolus administration of tPA. Reviewing other angiographic trials, total patency and TIMI 3 patency rates achievable with double bolus tPA were comparable to those with accelerated infusion tPA or bolus reteplase administration. The COBALT study demonstrated a 30-day mortality of 7.53% in patients treated with accelerated infusion tPA compared with 7.98% for double bolus tPA treated patients. The small excess in mortality with double bolus treatment was confined to the elderly; in those < or = 75 years, mortality rates were 5.6% and 5.7%, for double bolus and accelerated infusion, respectively, and rates for death or non-fatal stroke were 6.35% and 6.3%, respectively. Comparison with other trials demonstrated mortality, stroke and intracranial haemorrhage rates with double bolus treatment similar to those associated with either accelerated infusion tPA or bolus reteplase treatment. Double bolus administration of tPA to patients with acute myocardial infarction is associated with total patency, TIMI 3 patency, mortality, stroke and intracranial haemorrhage rates similar to those associated with either accelerated infusion of tPA or bolus reteplase. (+info)Emergent immunoregulatory properties of combined glucocorticoid and anti-glucocorticoid steroids in a model of tuberculosis. (3/24672)
In Balb/c mice with pulmonary tuberculosis, there is a switch from a protective Th1-dominated cytokine profile to a non-protective profile with a Th2 component. This switch occurs while the adrenals are undergoing marked hyperplasia. Treatment with the anti-glucocorticoid hormones dehydroepiandrosterone or 3 beta, 17 beta-androstenediol, during the period of adrenal hyperplasia, maintains Th1 dominance and is protective. We investigated the effects of these hormones as therapeutic agents by administering them from day 60, when the switch to the non-protective cytokine profile was already well established. Given at this time (day 60), doses that were protective when given early (from day 0) were rapidly fatal. A physiological dose of the glucocorticoid corticosterone was also rapidly fatal. However when the corticosterone and the anti-glucocorticoid (AED or DHEA) were co-administered, there was protection, with restoration of a Th1-dominated cytokine profile, enhanced DTH responses, and enhanced expression of IL-1 alpha and TNF alpha. Therefore this combination of steroids has an emergent property that is quite unlike that of either type of steroid given alone. It may be possible to exploit the ant-inflammatory properties of glucocorticoids while preserving a Th1 bias, by combining glucocorticoids with DHEA or suitable metabolites. (+info)Intensive weekly chemotherapy is not effective in advanced pancreatic cancer patients: a report from the Italian Group for the Study of Digestive Tract Cancer (GISCAD). (4/24672)
Twenty-two patients, with locally advanced unresectable and/or metastatic pancreatic carcinoma, received weekly administration of cisplatin 40 mg m(-2), 5-fluorouracil 500 mg m(-2), epidoxorubicin 35 mg m(-2), 6S stereoisomer of leucovorin 250 mg m(-2) and glutathione 1.5 mg m(-2), supported by a daily administration of lenograstim at a dose of 5 microg kg(-1). Nineteen patients were men and three were women. Median age was 63 years (range 47-70). At study entry, pain was present in 15 out of 22 patients (68%) with a mean value of Scott-Huskisson scale of 27.6+/-23.8, whereas a weight loss >10% was present in 15 patients. After eight weekly treatments, three partial responses were achieved for a response rate of 13% (95% CI 0-26%), five patients had stable disease and 14 progressed on therapy. Pain was present in 9 out of 22 patients (40%) with a mean value of Scott-Huskisson scale of 12.3+/-18.4. Eight patients (36%) (three partial response and five stable disease) had a positive weight change. Toxicity was mild: WHO grade III or IV toxicity was recorded in terms of anaemia in 7 out of 188 cycles (3.7%), of neutropenia in 9 out of 188 cycles (4.7%) and of thrombocytopenia in 3 out of 188 cycles (1.5%). Median survival of all patients was 6 months. The outcome of this intensive chemotherapy regimen does not support its use in pancreatic cancer. (+info)Early death during chemotherapy in patients with small-cell lung cancer: derivation of a prognostic index for toxic death and progression. (5/24672)
Based on an increased frequency of early death (death within the first treatment cycle) in our two latest randomized trials of combination chemotherapy in small-cell lung cancer (SCLC), we wanted to identify patients at risk of early non-toxic death (ENTD) and early toxic death (ETD). Data were stored in a database and logistic regression analyses were performed to identify predictive factors for early death. During the first cycle, 118 out of 937 patients (12.6%) died. In 38 patients (4%), the cause of death was sepsis. Significant risk factors were age, performance status (PS), lactate dehydrogenase (LDH) and treatment with epipodophyllotoxins and platinum in the first cycle (EP). Risk factors for ENTD were age, PS and LDH. Extensive stage had a hazard ratio of 1.9 (P = 0.07). Risk factors for ETD were EP, PS and LDH, whereas age and stage were not. For EP, the hazard ratio was as high as 6.7 (P = 0.0001). We introduced a simple prognostic algorithm including performance status, LDH and age. Using a prognostic algorithm to exclude poor-risk patients from trials, we could minimize early death, improve long-term survival and increase the survival differences between different regimens. We suggest that other groups evaluate our algorithm and exclude poor prognosis patients from trials of dose intensification. (+info)Peritoneal cytology in the surgical evaluation of gastric carcinoma. (6/24672)
Many patients undergoing surgery for gastric carcinoma will develop peritoneal metastases. A method to identify those patients at risk of peritoneal recurrence would help in the selection of patients for adjuvant therapy. Peritoneal cytology has received little attention in the West, but may prove a useful additional means of evaluating patients with gastric cancer. The aims of this study were to evaluate sampling techniques for peritoneal cytology in patients with gastric cancer, to assess the prognostic significance of free peritoneal malignant cells and to discover the effect of the operative procedure on dissemination of malignant cells. The study is based on 85 consecutive patients undergoing surgical treatment of gastric cancer and followed up for 2 years or until death. Peritoneal cytology samples were collected at laparoscopy, and at operation prior to resection by intraperitoneal lavage and serosal brushings. After resection, samples were taken by peritoneal lavage, imprint cytology of the resected specimen and post-operatively by peritoneal irrigation via a percutaneous catheter. Malignant cells were diagnosed by two independent microscopists. Preoperative peritoneal lavage yielded malignant cells in 16 out of 85 cases (19%). The yield of free malignant cells was increased by using serosal brushings (by four cases) and imprint cytology (by two cases); all of the cases had evidence of serosal penetration. One serosa-negative case exhibited positive cytology in the post-resection peritoneal specimen in which the preresection cytology specimen was negative. Survival was worse in the cytology-positive group (chi2 = 25.1; P< 0.0001). Among serosa-positive patients, survival was significantly reduced if cytology was positive, if cases yielded by brushings and imprint cytology were included (log-rank test = 8.44; 1 df, P = 0.004). In conclusion, free peritoneal malignant cells can be identified in patients with gastric cancer who have a poor prognosis; the yield can be increased with brushings and imprint cytology in addition to conventional peritoneal lavage. Evaluation of peritoneal cytology by these methods may have a role in the selection of patients with the poorest prognosis who may benefit most from adjuvant therapy. (+info)Second-line treatment for primary central nervous system lymphoma. (7/24672)
Failure after first-line treatment was reported in 35-60% of immunocompetent patients with primary central nervous system lymphoma (PCNSL). There are currently no reports focusing on salvage therapy. This review analyses prognostic factors and the efficacy of salvage therapy by focusing on data from papers reporting results of first-line treatment in 355 cases. The study group consisted of 173 patients presenting treatment failure. The interval between failure and death (TTD) was compared for age at relapse (< or =60 vs. >60 years), type of failure (relapse vs. progression), time to relapse (< or =12 vs. >12 months) and salvage treatment (yes vs no). Median TTD was similar in younger and older patients (P = 0.09). Relapsed patients had a longer TTD than patients with progressive disease (P = 0.002). Early relapse led to a shorter TTD than late relapse (P = 0.005). Median TTD was 14 months for patients who underwent salvage therapy and 2 months for untreated cases (P<0.00001). A multivariate analysis showed an independent prognostic role for salvage therapy and time to relapse. Age and type of failure had no predictive value. Salvage therapy significantly improves outcome and, possibly, quality of life. As many different treatments were used conclusions cannot be made regarding an optimal treatment schedule. (+info)Treatment of advanced pancreatic cancer with the long-acting somatostatin analogue lanreotide: in vitro and in vivo results. (8/24672)
Fourteen patients with metastatic pancreatic adenocarcinoma were treated with the long-acting somatostatin (SST) analogue lanreotide. No objective response was obtained, and the median survival was 4 months (range 1.8-7 months). Pancreatic cancer could not be visualized by means of SST-receptor (R) scintigraphy in our patients. In vitro data also demonstrated absence of SSTR2 expression, suggesting pancreatic cancer not to be a potential target for treatment with SST analogues. (+info)
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CRAN - Package bpcp
Survival Analysis - An introduction - StatR Analysis
SAS Training in the United States -- Applying Survival Analysis to Business Time-to-Event Problems
CME PCI prior to CABG does not unfavorably impact survival: a single center propensity matched analysis | OpenCME
st: Survival analysis - Inconstant event
9780471754992 - Applied Survival Analysis : Regression | eCampus.com
Survival analysis | pvalue.io
Survival Analysis Report Tutorial - MobileFit
Uncovering the true Customer Value by using Survival Analysis | 4C
asaur: Data Sets for Applied Survival Analysis Using R version 0.50 from CRAN
dsurvreg: Distributions available in survreg. in survival: Survival Analysis
Methodological Comparison of Survival Analysis Methods in Censored Medical Data | Abstract
CRAN - Package survutils
Significance between ratios? | Statistics Help @ Talk Stats Forum
Nonparametric and Parametric Survival Analysis of Censored Data with Possible Violation of Method Assumptions, UNCG NC DOCKS ...
Survival Analysis with Stata - IDRE Stats
survival analysis lecture
Survival Distributions with Bathtub Shaped Hazard: A New Distribution Family - Spectrum: Concordia University Research...
PyVideo.org · Survival Analysis in Python and R
Introduction to Survival Analysis Training Course 2018 :: CALLS-HUB
Lack of Overall Survival Improvement Linked to Toxicity of Aromatase Inhibitors
Survival Analysis on Duration Data in Intelligent Tutors - IIS International
An estimated 70% of survival improvement in heart attack mortality is attributed to technological advances and procedures...
Kaplan-Meier survival analysis between ARMS expressio | Open-i
UK breast cancer survival improvement best in Europe
Symptoms of depression and survival experience among three samples of smokers trying to quit | RTI
SAS Training in the United States -- Survival Analysis Using the Proportional Hazards Model
存活分析(Survival analysis)介紹Ⅳ-Cox proportional hazard model (Cox regression)~晨晰統計林星帆顧問整理 @ 晨晰統計部落格新站(統計、SPSS、BIG DATA討論園地) :: 痞客邦...
survival analysis and logistic regression - Applied Mathematics - Science Forums
CRAN - Package CFC
Clinical Trial: NCT02369874 - My Cancer Genome
PyVideo.org · Survival analysis for conversion rates
Download Applied Survival Analysis: Regression Modeling of Time to by David W. Hosmer Jr., Stanley Lemeshow, Susanne May PDF -...
survival - Difference between Kaplan Meier Estimator and the Empirical CDF - Cross Validated
Download Applied Survival Analysis: Regression Modeling of Time to by David W. Hosmer Jr., Stanley Lemeshow, Susanne May PDF -...
Nonparametric Test of Independence for Censored Data.
Constructing survival analysis models with independent variables that change over time: Application using data from the Survey...
Prognostic value of miR-221 in human malignancy: evidence from 3041 subjects | BMC Cancer | Full Text
Survival analysis of patients with a PFS event who did not receive post-progression therapy in AVAglio (bevacizumab [BEV] plus...
Comparison of the overall patient survival curves accor | Open-i
Survival Analysis as a Data Science Project (pt 3)
Survival analysis as a data science project (pt 1)
CRAN - Package BaSTA
Poverty link to cancer survival - NHS
Com Ref - Analysis: COXPH - User Guide | Epi Info™ | CDC
Columbia Basin Research {if isset(Chart)} | {Chart}{/if}
Columbia Basin Research {if isset(Chart)} | {Chart}{/if}
Hazard ratio
In survival analysis, the hazard ratio (HR) is the ratio of the hazard rates corresponding to the conditions described by two ... Cantor, Alan (2003). Sas Survival Analysis Techniques for Medical Research. SAS Institute. pp. 111-150. ISBN 9781590471357.. ... David G. Kleinbaum; Mitchel Klein (2005). Survival Analysis: A Self-Learning Text (2 ed.). Springer. ISBN 9780387239187. ... an institutional survival analysis of 275 patients". World Journal of Surgical Oncology. 9 (69). doi:10.1186/1477-7819-9-69.. ...
Accelerated failure time model
Parametric model in survival analysis. In the statistical area of survival analysis, an accelerated failure time model (AFT ... Bradburn, MJ; Clark, TG; Love, SB; Altman, DG (2003), "Survival Analysis Part II: Multivariate data analysis - an introduction ... Cox, David Roxbee; Oakes, D. (1984), Analysis of Survival Data, CRC Press, ISBN 978-0-412-24490-2. ... Wei, L. J. (1992). "The accelerated failure time model: A useful alternative to the cox regression model in survival analysis ...
Cumulative distribution function
In survival analysis, F. ¯. (. x. ). {\displaystyle {\bar {F}}(x)}. is called the survival function and denoted S. (. x. ). {\ ... Cumulative frequency analysis is the analysis of the frequency of occurrence of values of a phenomenon less than a reference ... Use in statistical analysis[edit]. The concept of the cumulative distribution function makes an explicit appearance in ...
Personal identity
Andrew Brennan, Personal identity and personal survival. Analysis, 42, 44-50. 1982. ... Robinson, John (1988). "Personal identity and survival". Journal of Philosophy. 85 (6): 319-328. doi:10.2307/2026722. JSTOR ... Roots, Identity, Nationality A brief critical analysis of the concept of identity ...
Mills ratio
Klein, J. P.; Moeschberger, M. L. (2003). Survival Analysis: Techniques for Censored and Truncated Data. New York: Springer. p ... Greene, W. H. (2003). Econometric Analysis (Fifth ed.). Prentice-Hall. p. 759. ISBN 0-13-066189-9. .. ... is the complementary cumulative distribution function (also called survival function). The concept is named after John P. Mills ... A common application of the inverse Mills ratio (sometimes also called "non-selection hazard") arises in regression analysis to ...
Cryopreservation
They permit a higher degree of cell survival during freezing, to lower the freezing point, to protect cell membrane from freeze ... An analysis of 11,768 cryopreserved human embryos". Fertility and Sterility. 93 (1): 109-15. doi:10.1016/j.fertnstert.2008.09. ... Riggs R, Mayer J, Dowling-Lacey D, Chi TF, Jones E, Oehninger S (January 2010). "Does storage time influence postthaw survival ... A study of more than 11,000 cryopreserved human embryos showed no significant effect of storage time on post-thaw survival for ...
Permian-Triassic extinction event
Cascales-Miñana, B.; Cleal, C. J. (2011). "Plant fossil record and survival analyses". Lethaia. 45: 71. doi:10.1111/j.1502- ... but statistical analyses have so far not produced clear conclusions.[67] However, analysis of the fossil river deposits of the ... Analysis of marine fossils from the period indicated a decrease in the abundance of sessile epifaunal suspension feeders such ... An analysis of marine fossils from the Permian's final Changhsingian stage found that marine organisms with low tolerance for ...
Ceasefire
Sagård, Tora (2019). Causes of Ceasefire Failure: A survival analysis, 1989-2017 (PDF). Oslo: Peace Research Institute Oslo.. ...
P-selectin
A systematic review and meta-analysis of randomized trials". J. Thromb. Haemost. 5 (4): 729-37. doi:10.1111/j.1538-7836.2007. ... Lazo-Langner A, Goss GD, Spaans JN, Rodger MA (April 2007). "The effect of low-molecular-weight heparin on cancer survival. ...
Steve Selvin
Survival Analysis for epidemiologic and Medical Research Analysis of Epidemiologic Data. Cambridge University Press, New York, ... Epidemiologic Analysis: a case-oriented approach. Oxford University Press, New York, 2001, ISBN 0195144899 ... Statistical Analysis of Epidemiologic Data. Oxford University Press, New York, 1991, 3. edition 2004, .mw-parser-output cite. ...
Discrimination
Cowan, Glora; O'Brien, Margaret (1990). "Gender and Survival vs. Death in Slasher Films: A Content Analysis". Sex Roles. 23 (3- ... Theory 472, 472 (1976); Glen G. Cain, "The Economic Analysis of Labor Market Discrimination: A Survey", in Handbook of Labor ... It is argued that microeconomic analysis of discrimination uses unusual methods to determine its effects (using explicit ... "Matched-Names Analysis Reveals No Evidence of Name-Meaning Effects: A Collaborative Commentary on Silberzahn and Uhlmann" (PDF ...
Vitamin C
Harris HR, Orsini N, Wolk A (May 2014). "Vitamin C and survival among women with breast cancer: a meta-analysis". European ... A second meta-analysis found no effect on the risk of prostate cancer.[35] Two meta-analyses evaluated the effect of vitamin C ... A meta-analysis of 44 clinical trials has shown a significant positive effect of vitamin C on endothelial function when taken ... A 2013 meta-analysis found no evidence that vitamin C supplementation reduces the risk of myocardial infarction, stroke, ...
Cure
"Estimating and modeling the cure fraction in population-based cancer survival analysis". Biostatistics. 8 (3): 576-594. doi: ... Cure rate curves can be determined through an analysis of the data.[7] The analysis allows the statistician to determine the ... The simplest cure rate model was published by Berkson and Gage in 1952.[7] In this model, the survival at any given time is ... In complex diseases, such as cancer, researchers rely on statistical comparisons of disease-free survival (DFS) of patients ...
BRCA mutation
"Survival analysis of cancer risk reduction strategies for BRCA1/2 mutation carriers". J Clin Oncol. 28 (2): 222-31. doi:10.1200 ... Survival impact[edit]. Among women who die before age 70.... 72 / 100. ... In the US in 2010, single-site testing had a retail cost of US$400 to $500, and full-length analysis cost about $3,000 per gene ... How quickly results are returned depends on the test-single-site analysis requires less lab time-and on the infrastructure in ...
Oophorectomy
"Survival analysis of cancer risk reduction strategies for BRCA1/2 mutation carriers". Journal of Clinical Oncology. 28 (2): 222 ... Surgery at age 50-54 reduces the probability of survival until age 80 by 8% (from 62% to 54% survival), surgery at age 55-59 by ... The survival advantage is more substantial when oophorectomy is performed together with prophylactic mastectomy.[11][12] ... The effect is not limited to women who have oophorectomy performed before menopause; an impact on survival is expected even for ...
Proportional hazards model
Some remarks on the analysis of survival data. the First Seattle Symposium of Biostatistics: Survival Analysis.. ... Some remarks on the analysis of survival data. the First Seattle Symposium of Biostatistics: Survival Analysis.. ... Nan Laird and Donald Olivier (1981). "Covariance Analysis of Censored Survival Data Using Log-Linear Analysis Techniques". ... Cox, D. R.; Oakes, D. (1984). Analysis of Survival Data. New York: Chapman & Hall. ISBN 041224490X.. ...
Weibull distribution
In survival analysis[11]. *In reliability engineering and failure analysis. *In electrical engineering to represent overvoltage ... Mann, Nancy R.; Schafer, Ray E.; Singpurwalla, Nozer D. (1974), Methods for Statistical Analysis of Reliability and Life Data, ... Liu, Chao; White, Ryen W.; Dumais, Susan (2010-07-19). Understanding web browsing behaviors through Weibull analysis of dwell ... Collett, David (2015). Modelling survival data in medical research (3rd ed.). Boca Raton: Chapman and Hall / CRC. ISBN 978- ...
Rak żołądka człowieka, wolna encyklopedia
Survival after radiotherapy in gastric cancer: systematic review and meta-analysis. „Radiother Oncol". 92 (2), s. 176-183, Aug ... The impact of radiotherapy on survival in resectable gastric carcinoma: a meta-analysis of literature data. „Cancer Treat Rev ... Meta-analysis of randomized trials. „Eur J Surg Oncol". 40 (1), s. 12-26, Jan 2014. DOI: 10.1016/j.ejso.2013.10.019. PMID: ... A meta-analysis of D1 versus D2 lymph node dissection. „Gastric Cancer". 15 Suppl 1, s. S60-69, Sep 2012. DOI: 10.1007/s10120- ...
Cholesteatoma
"The investigation of the recurrence rate of cholesteatoma using Kaplan-Meier survival analysis". Otology & Neurotology. 29 (6 ...
Kaplan-Meier estimator
"survival: Survival Analysis". R Project. April 2019.. *^ Willekens, Frans (2014). "The Survival Package". Multistate Analysis ... Then survival rate can be defined as: S. (. t. ). =. ∏. i. :. t. i. ≤. t. (. 1. −. h. i. ). {\displaystyle S(t)=\prod \limits ... "Kaplan-Meier Survival Curves and the Log-Rank Test" (PDF). Survival Analysis (PDF). Handout and presentation. Seminar for ... Aalen, Odd; Borgan, Ornulf; Gjessing, Hakon (2008). Survival and Event History Analysis: A Process Point of View. Springer. pp ...
Kostniakomięsak, wolna encyklopedia
Osteosarcoma in adolescents and adults: survival analysis with and without lung metastases. „Ann Oncol". 20 (6), s. 1136-41, ... Mutation analysis of the RECQL4 gene in sporadic osteosarcomas. „Int J Cancer". 111 (3), s. 367-72, Sep 2004. DOI: 10.1002/ijc. ... Osteosarcoma incidence and survival rates from 1973 to 2004: data from the Surveillance, Epidemiology, and End Results Program ... Osteosarcoma incidence and survival rates from 1973 to 2004: data from the Surveillance, Epidemiology, and End Results Program ...
Subventricular zone
"Influence of glioblastoma contact with the lateral ventricle on survival: a meta-analysis". Journal of Neuro-Oncology. 131 (1 ... "Cell and molecular analysis of the developing and adult mouse subventricular zone of the cerebral hemispheres". The Journal of ... "Decreased survival in glioblastomas is specific to contact with the ventricular-subventricular zone, not subgranular zone or ...
Insomnia
... a survival analysis of relapse". Behaviour Research and Therapy. 43 (1): 1-14. doi:10.1016/j.brat.2003.12.002. PMID 15531349.. ... van Straten, A; Cuijpers, P (February 2009). "Self-help therapy for insomnia: a meta-analysis". Sleep Medicine Reviews. 13 (1 ... Cheng, SK; Dizon, J (2012). "Computerised cognitive behavioural therapy for insomnia: a systematic review and meta-analysis". ... "The Efficacy and Safety of Drug Treatments for Chronic Insomnia in Adults: A Meta-analysis of RCTs". Journal of General ...
Chi-squared distribution
Log-rank test in survival analysis. *Cochran-Mantel-Haenszel test for stratified contingency tables ... It is also a component of the definition of the t-distribution and the F-distribution used in t-tests, analysis of variance, ... Similarly, in analyses of contingency tables, the chi-squared approximation will be poor for small sample size, and it is ... It enters all analysis of variance problems via its role in the F-distribution, which is the distribution of the ratio of two ...
Head and neck cancer
"Human papillomavirus related head and neck cancer survival: A systematic review and meta-analysis" (PDF). Oral Oncology. 48 (12 ... This study found no improvement in survival or disease-free survival with the addition of cetuximab to the conventional ... Survival advantages provided by new treatment modalities have been undermined by the significant percentage of people cured of ... There is a lower survival rate for similar tumor states in African Americans with head and neck cancer. Smoking and tobacco use ...
Extinction event
Cascales-Miñana, B.; Cleal, C. J. (2011). "Plant fossil record and survival analyses". Lethaia. 45: 71. doi:10.1111/j.1502- ... statistical analysis shows that this can only account for 50% of the observed pattern,[citation needed] and other evidence ( ... Their statistical analysis of marine extinction rates throughout the Phanerozoic suggested that neither long-term pressure ... "Survival without recovery after mass extinctions". PNAS. 99 (12): 8139-44. Bibcode:2002PNAS...99.8139J. doi:10.1073/pnas. ...
سرطان پروستات - ویکیپدیا، دانشنامهٔ آزاد
A pre-planned interim analysis showed improved survival and quality of life. The study was stopped for ethical reasons to give ... A Systematic Review and Meta-Analysis". PLoS ONE. 9 (7): e101320. doi:10.1371/journal.pone.0101320. PMC 4106761 . PMID 25051345 ... The cancer chemotherapic docetaxel has been used as treatment for CRPC with a median survival benefit of 2 to 3 months.[116][ ... A meta-analysis on the effects of voiding position during urination in males with prostate enlargement showed that sitting was ...
Ostra białaczka szpikowa, wolna encyklopedia
Prediction of post-remission survival in acute myeloid leukaemia: a post-hoc analysis of the AML96 trial. „Lancet Oncol". 13 (2 ... Comparable survival after HLA-well-matched unrelated or matched sibling donor transplantation for acute myeloid leukemia in ... Azacitidine prolongs overall survival compared with conventional care regimens in elderly patients with low bone marrow blast ... Analysis of FLT3-activating mutations in 979 patients with acute myelogenous leukemia: association with FAB subtypes and ...
Sequence alignment
Markov/Markov for Discrimination and survival analysis for modeling sequential information in NPTB models". Decision Support ... Phylogenetic analysis[edit]. Main article: Computational phylogenetics. Phylogenetics and sequence alignment are closely ... 2004). Bioinformatics: Sequence and Genome Analysis (2nd ed.). Cold Spring Harbor Laboratory Press: Cold Spring Harbor, NY. ... Abbott A.; Tsay A. (2000). "Sequence Analysis and Optimal Matching Methods in Sociology, Review and Prospect". Sociological ...
Zoo
Comparative analyses of longevity and senescence reveal variable survival benefits of living in zoos across mammals. Sci Rep 6 ... In Africa, conservation is handled by the African Preservation Program (APP);[58] in the U.S. and Canada by Species Survival ...
Pol Pot
"The Survival of Cambodia's Ethnic Minorities". Cultural Survival. Retrieved 15 February 2018.. ... Heuveline, Patrick (2001). "The Demographic Analysis of Mortality Crises: The Case of Cambodia, 1970-1979". Forced Migration ... Heuveline, Patrick (2001). "The Demographic Analysis of Mortality Crises: The Case of Cambodia, 1970-1979". Forced Migration ...
Hindu nationalism
Stone, Linda (1988), Illness Beliefs and Feeding the Dead in Hindu Nepal: An Ethnographic Analysis, E. Mellen, ISBN ... Ram Gopal, Hindu culture during and after Muslim rule: survival and subsequent challenges, Published by M.D. Publications Pvt. ...
Eurasian magpie
An analysis of mitochondrial DNA sequences published in 2003 confirmed that the black-billed magpie and the yellow-billed ... For subsequent years, the survival rate for the adult birds was 69%, implying that for those birds that survive the first year ...
Muscle atrophy
The meta-analysis showed greater muscle mass gain in the intervention groups compared with the control groups (standard mean ... or the availability of critical secreted growth factors which are necessary to maintain muscle mass and satellite cell survival ... Based upon a meta-analysis of seven randomized controlled trials that was published in 2015, HMB supplementation has efficacy ... The studies included in the meta-analysis had durations of 2-12 months and the majority of studies lasted 2-3 months. Seene T ( ...
Streptococcus pneumoniae
Engelmoer DJ, Rozen DE (December 2011). "Competence increases survival during stress in Streptococcus pneumoniae". Evolution. ... further analysis showed that neutrophils exposed to dead H. influenzae were more aggressive in attacking S. pneumoniae.[28] ...
Ebola
"Virological Analysis: no link between Ebola outbreaks in west Africa and Democratic Republic of Congo". World Health ... Early supportive care with rehydration and symptomatic treatment improves survival.[1] Rehydration may be via the oral or ... an analysis of Ebola virus RNA results and behavioural data". Lancet Global Health. 4 (10): e736-e743. doi:10.1016/S2214-109X( ... "not only gives patients a better chance of survival, but it prevents transmission of the virus to other people." The new ...
Cushing's disease
The prolonged survival made Minnie's case unique at the time. The reason behind this survival remains a mystery, since an ... The analyses of the study show that complications were more likely in patients with pre-operative comorbidities. Patients older ...
Medicaid
... indicating that Medicaid accessibility led to early detection of breast cancer and higher survival rates.[111] ... "State Medicaid Expansions and Mortality, Revisited: A Cost-Benefit Analysis" (PDF). American Journal of Health Economics. 3 (3 ...
Mallard
Genetic analysis has shown that certain mallards appear to be closer to their Indo-Pacific relatives while others are related ... eggs and clutches are larger and nest survival is generally greater compared with mallards in their native range. [81] ...
Paleolithic
"Phylogeographic Analysis of the mid-Holocene Mammoth from Qagnax Cave, St. Paul Island, Alaska" (PDF).. ... Each member of the group was skilled at all tasks essential to survival, regardless of individual abilities. Theories to ... which would help ensure their survival in cold regions.[35] ... trade between bands would have helped ensure their survival by ...
Level of measurement
This ensures that subsequent user errors cannot inadvertently perform meaningless analyses (for example correlation analysis ... Survival function. *Kaplan-Meier estimator (product limit). *Proportional hazards models. *Accelerated failure time (AFT) model ... Mosteller, Frederick (1977). Data analysis and regression : a second course in statistics. Reading, Mass: Addison-Wesley Pub. ... Cliff, N. (1996). Ordinal Methods for Behavioral Data Analysis. Mahwah, NJ: Lawrence Erlbaum. ISBN 0-8058-1333-0 ...
Black wildebeest
Gunda, M. R. (2010). The Bible and Homosexuality in Zimbabwe : A Socio-historical Analysis of the Political, Cultural and ... Bassi, J. (2013). Pilot in the Wild: Flights of Conservation and Survival. South Africa: Jacana Media. pp. 116-8. ISBN 978-1- ... comparative cytogenetics and analysis of mitochondrial DNA". The Journal of Heredity. 82 (6): 447-52. doi:10.1093/ ...
Health in Nepal
An analysis of the causes of stunting in Nepal reveals that around half is rooted in poor maternal nutrition and half in poor ... Malnutrition remains a serious obstacle to child survival, growth and development in Nepal. The most common form of ... In addition, malnutrition constitutes a serious threat especially to young child survival and is associated with about one ... Further Analysis of the 2006 Nepal Demographic and Health Survey" (pdf). Macro International Inc. Retrieved 14 November 2012. " ...
Hematopoietic stem cell transplantation
As survival following the procedure has increased, its use has expanded beyond cancer to autoimmune diseases[4][5] and ... "Data analysis slides by Center for International Blood and Marrow Transplant Research". mcw.edu. Archived from the original on ... "MSK's One-Year Survival Rate after Allogeneic Bone Marrow Transplant Exceeds Expectations - Memorial Sloan Kettering Cancer ... survival rates have been gradually improving across almost all populations and sub-populations receiving transplants.[40] ...
Caulobacter crescentus
The genome contains multiple clusters of genes encoding proteins essential for survival in a nutrient-poor habitat. Included ... "The diversity and evolution of cell cycle regulation in alpha-proteobacteria: A comparative genomic analysis". BMC Systems ...
Tornado
Louis J. Wicker, Robert B. Wilhelmson; Wilhelmson (1995). "Simulation and Analysis of Tornado Development and Decay within a ... going to a basement or an interior first-floor room of a sturdy building greatly increases chances of survival.[110] In tornado ... Analysis of observations including both stationary and mobile (surface and aerial) in-situ and remote sensing (passive and ... or under a sturdy piece of furniture such as a workbench further increases chances of survival.[114][115] ...
PAX8
Some studies have suggested that the renal PAX genes act as pro-survival factors and allow tumor cells to resist apoptosis. ... "A comprehensive analysis of PAX8 expression in human epithelial tumors". The American Journal of Surgical Pathology. 35 (6): ...
Mann-Whitney U test
Kruskal-Wallis one-way analysis of variance. Notes[edit]. *^ a b Mann, Henry B.; Whitney, Donald R. (1947). "On a Test of ... Survival function. *Kaplan-Meier estimator (product limit). *Proportional hazards models. *Accelerated failure time (AFT) model ... Zar, Jerrold H. (1998). Biostatistical Analysis. New Jersey: Prentice Hall International, INC. p. 147. ISBN 0-13-082390-2.. ... A thorough analysis of the statistic, which included a recurrence allowing the computation of tail probabilities for arbitrary ...
Afatinib
... analysis of overall survival data from two randomised, phase 3 trials". The Lancet. Oncology. 16 (2): 141-51. doi:10.1016/s1470 ... "Afatinib (BIBW 2992*) Triples Progression Free Survival in Phase III Study in Lung Cancer Patients". BusinessWire. 11 October ... but did not extend overall survival.[14] In May 2012, the Phase IIb/III trial Lux-Lung 1 came to the same conclusion.[15] ... Fall 2010 interim results suggested the drug extended progression-free survival threefold compared to placebo, ...
Holocene extinction
... "more than 1,200 species globally face threats to their survival in more than 90% of their habitat and will almost certainly ... "Landmark analysis documents the alarming global decline of nature". Science. AAAS. Retrieved 26 August 2020. Driving these ...
Androgen
A Brdu analysis showed that excess testosterone did not increase this blocking effect against social isolation; that is, the ... Hamson DK, Wainwright SR, Taylor JR, Jones BA, Watson NV, Galea LA (2013). "Androgens increase survival of adult-born neurons ... Analysis showed that testosterone and dihydrotestosterone regulated adult hippocampal neurogenesis (AHN). Adult hippocampal ...
Brain tumor
Survival rates in primary brain tumors depend on the type of tumor, age, functional status of the patient, the extent of ... a systematic analysis for the Global Burden of Disease Study 2015". Lancet. 388 (10053): 1545-1602. doi:10.1016/S0140-6736(16) ... The central nervous system cancer survival rate in children is approximately 60%. The rate varies with the type of cancer and ... Although chemotherapy may improve overall survival in patients with the most malignant primary brain tumors, it does so in only ...
Brassicaceae
It has long been clear that the Aethionema are sister of the remainder of the family.[9] One analysis from 2014 represented the ... depend upon native mustards for their survival, in their native habitats. Some non-native mustards, such as garlic mustard, ... Early DNA-analysis showed that the Capparaceae-as defined at that moment-were paraphyletic, and it was suggested to assign the ... Current insights in the relationships of the Brassicaceae, based on a 2012 DNA-analysis, are summarized in the following tree.[ ...
Bengal famine of 1943
However, FEE analyses do not consider shortage the main factor,[321] while FAD-oriented scholars such as Bowbrick (1986) hold ... Very often, these girls lived in constant fear of injury or death, but the brothels were their sole means of survival.[262] ... More recent analyses often stress political factors.[BA] Discussions of the government's role split into two broad camps: those ... Sen, Amartya (1981b). "Ingredients of Famine Analysis: Availability and Entitlements". The Quarterly Journal of Economics. 96 ( ...
Mark and recapture
Maunder M.N. (2003) Paradigm shifts in fisheries stock assessment: from integrated analysis to Bayesian analysis and back again ... Commonly, more than two visits are made, particularly if estimates of survival or movement are desired. Regardless of the total ... Maunder, M. N. (2004). "Population viability analysis, based on combining integrated, Bayesian, and hierarchical analyses". ... "Analysis of capture-recapture data". Retrieved 19 Nov 2014.. "Chapman and Hall/CRC Press". Retrieved 19 Nov 2014.. ...
Alpha-1 antitrypsin
Kolarich D, Weber A, Turecek PL, Schwarz HP, Altmann F (June 2006). "Comprehensive glyco-proteomic analysis of human alpha1- ... Since 1995, significant strides have been made in improving the survival of individuals affected with Alpha-1 through ... Mahr AD, Neogi T, Merkel PA (2006). "Epidemiology of Wegener's granulomatosis: Lessons from descriptive studies and analyses of ... and glycoproteomic analyses of alpha(1)-proteinase inhibitor products used for replacement therapy". Transfusion. 46 (11): 1959 ...
Display (zoology)
It is connected to sexual selection and survival of the species in various ways. Typically, display behaviour is used for ... "Examination of the Agonistic Behaviour of the Crayfish Orconectes Virilis By Character Analysis". Behaviour. 50 (3): 193-215. ...
Inbreeding
Griffiths AJ, Miller JH, Suzuki DT, Lewontin RC, Gelbart WM (1999). An introduction to genetic analysis. New York: W. H. ... S1008: Genetic Selection and Crossbreeding to Enhance Reproduction and Survival of Dairy Cattle (S-284) Archived 2006-09-10 at ... Historical analysis indicated that a population expansion from just two matrilineal lines was responsible for most of the ... Freeman S, Herran JC (2007). "Aging and other life history characters". Evolutionary Analysis (4th ed.). Pearson Education, Inc ...
Whale
Allometric analysis indicates that mammalian brain size scales at approximately the ⅔ or ¾ exponent of the body mass. ... but increases the survival probability of each one. Females, referred to as "cows", carry the responsibility of childcare as ... Comparison of a particular animal's brain size with the expected brain size based on such allometric analysis provides an ... Subsistence hunters typically use whale products for themselves and depend on them for survival. National and international ...
Pleiotropy
Gruneberg, H., 1938 An analysis of the "pleiotropic" effects of a new lethal mutation in the rat (Mus norvegicus). Proc. R. Soc ... pleiotropy would facilitate mating and survival. However, pleiotropy can act negatively as well. A study on seed beetles found ... evidence from a meta-analysis of twin studies". Archives of General Psychiatry. 60 (12): 1187-1192. doi:10.1001/archpsyc.60.12. ...
Introduction to Survival Analysis | SpringerLink
... the data analytic approach called survival analysis.This approach includes the type of problem addressed by survival analysis ... This introduction to survival analysis gives a descriptive overview of ... the goals of survival analysis, and some examples of survival analysis.. Keywords. Survival Time Survival Analysis Hazard ... This introduction to survival analysis gives a descriptive overview of the data analytic approach called survival analysis. ...
12. Survival analysis | The BMJ
Survival analysis is concerned with studying the time between entry to a study and a subsequent event. Originally the analysis ... Kaplan-Meier survival curve. We look at the data using a Kaplan-Meier survival curve. Suppose that the survival times, ... If I dont have any censored observations, do I need to use survival analysis?. Not necessarily, you could use a rank test such ... but survival analysis is applicable to many areas as well as mortality. Recent examples include time to discontinuation of a ...
Survival analysis sas syntax list
... survival analysis sas syntax list, organic food 32828, juno film quiz ... family survival kit video surveillance, first aid course windsor uk hotels, best food edmond oklahoma 2013, ... Survival analysis sas syntax list,best ya books to read 2015,best books of 2014 in urdu aries,zombie survival 3d unity noi - ... Survival analysis often begins with examination of the overall survival experience through non-parametric methods, such as ...
APTS module: Survival Analysis
Aims: The aim of this module is to familiarize the student with the basic concepts and models in survival analysis. The ... Klein, J.P. and Moeschberger, M.L. (1997). Survival analysis, techniques for censored and truncated data, Springer, New York. ... The content will also include parametric and semiparametric models which are very common in survival analysis. ... Cox, D.R. and Oakes, D. (1984). Analysis of survival data, Chapman and Hall, New York. ...
Survival Analysis with Long-Term Survivors | Wiley
The effects of covariate information can be assessed via a kind of generalised linear framework in the parametric analyses. The ... in the analysis of recidivism data in criminology, where the intentions are similar with respect to prisoners released from and ... the book is aimed very much at the practitioner who wishes to analyse survival data with (or even without) immunes. ... The aim of this book is to suggest and exemplify a systematic methodology for analysing survival data which contains immune, or ...
Analysis of Survival Data with Dependent Censoring | SpringerLink
This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. ... an accessible introduction to basic survival analysis and explains the mathematical foundations of copula-based survival models ... where survival analysis plays an important role.. The book can be used as a textbook for graduate coursework or a short course ... Competing Risk Compound Covariate Cox Regression Kendalls Tau Meta-Analysis Semi-Competing Risk Surrogate Endpoint ...
Survival Analysis | Predictive Analytics Techniques | InformIT
Survival Analysis. For some business applications, the response measure you want to predict is the elapsed time to an event. ... Survival analysis is a family of techniques developed to work with censored time-to-event response measures. Note that if ... Hence, survival analysis techniques enable the analyst to take full advantage of available data without waiting until every ... After three years, some of the patients in the study have died, and you can compute the survival time for each of these ...
Introduction to survival analysis - Ulm University
Survival Analysis for Junior Researchers (SAfJR) 2020 *. Survival Analysis for Junior Researchers (SAfJR) 2020 * Organizing ... Survival Analysis, Springer 2003 O.O. Aalen, O. Borgan, H. Gjessing: Survival and Event History Analysis - A Process Point of ... In biomedical research, the analysis of time-to-death (hence the name survival analysis) or time to some composite endpoint ... students should be able to understand and use survival analysis as, e.g., required in standard clinical trials with a survival ...
Newest 'survival-analysis' Questions - Stack Overflow
Survival analysis to get DROP OUT rates. Ciao, I have data on student drop-outs and I am aiming to conduct a survival analysis ... Lognormal survival analysis in python. I need to make a survival analysis with lognormal parametric model using python. I have ... Survival Analysis - Median Overall Survival. I am trying to run a script to calculate KM median overall survival and ... bayesian survival analysis wth rstan. I want to construct stan(rstan) code for survival analysis using weibull distribution. ...
A meta-learning approach for genomic survival analysis | Nature Communications
To address these limitations, we propose a meta-learning framework based on neural networks for survival analysis and evaluate ... For the application of predicting cancer survival outcome, we also show that the meta-learning framework with a few samples is ... Finally, we demonstrate that the meta-learning model implicitly prioritizes genes based on their contribution to survival ... Hosmer, D. W., Lemeshow, S. & May, S. Applied Survival Analysis: Regression Modeling of Time to Event Data. Wiley Series in ...
Survival Analysis for Junior Researchers conference 2014
... two-day conference has been specifically designed for researchers working in the theory and application of survival analysis ... The Survival Analysis for Junior Researchers conference takes place at the University of Warwick on Thursday 3rd and Friday 4th ... Survival Analysis for Junior Researchers conference 2014 It has been an amazing two days. Thank you to everyone who came and ... The event will also comprise lectures from two keynote speakers, Hein Putter ("Dynamic Prediction in Clinical Survival Analysis ...
Frailty in Survival Analysis of Widowhood Mortality
the population survival function becomes. The population hazard rate is then derived as and the population HR can be expressed ... in the parametric survival function . The sum of squares to be minimized is , where is the Nelson-Aalen survival function. ( ... The individual survival function is , where is the known cumulative mortality rate for married population. ... In survival analysis of time to death, or to any event, the hazard rate is a measure of the risk in the population at large. ...
SAS/STAT Survival Analysis Procedures
The SAS/STAT survival analysis procedures include PROC ICLIFETEST, PROC ICPHREG, PROC LIFEREG, PROC LIFETEST, PROC PHREG, and ... The SAS/STAT survival analysis procedures include the following: *ICLIFETEST Procedure - Nonparametric survival analysis for ... or the survival time for heart transplant patients. The purpose of survival analysis is to model the underlying distribution of ... Survival Analysis. Data that measure lifetime or the length of time until the occurrence of an event are called lifetime, ...
Intergroup Exemestane Study mature analysis: overall survival data
Survival Analysis (532) - West Chester University
Allison,, Survival Analysis Using SAS A Practical Guide, SAS Press, 1995 *Machin, Cheung, and Parmar, Survival Analysis A ... Survival Analysis (532). Applied Statistics Survival Analysis (532). Contact Applied Statistics Applied Statistics Address: 25 ... Students will get experience using common methods for survival analysis, including Kaplan-Meier Methods, Life Table Analysis, ... Students will get experience using common methods for survival analysis, including Kaplan-Meier Methods, Life Table Analysis, ...
Survival of the fastest | Chicago Business & Financial News & Analysis
Europe's airlines brace for survival battle | Analysis | Flight Global
This analysis is written by Jon Robins, part of Ciriums London-based reporting team. This story has been updated to include ... Analysis. IATA AGM and COP26 are pivotal moments for airline sustainability challenge. 2021-09-15T16:29:00Z ... Airlines are going into survival mode - the name of the game is to still be here at the end." ...
9780471754992 - Applied Survival Analysis : Regression | eCampus.com
9780471754992 Our cheapest price for Applied Survival Analysis : Regression Modeling of Time to Event Data is $81.00. Free ... Applied Survival Analysis : Regression Modeling of Time to Event Data. by Hosmer, David W.; Lemeshow, Stanley; May, Susanne * ... Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time- ... An Introduction to the Counting Process Approach to Survival Analysis. Percentiles for Computation of the Hall and Wellner ...
Statistical Analysis Of Survival Data
... NTP STATISTICAL ANALYSIS OF SURVIVAL DATA REPORT: PEIRPT11 LAB: Battelle Columbus OLEIC ... STATISTICAL ANALYSIS OF SURVIVAL DATA MALE RATS FIRST TERMINAL SACRIFICE AT 728 DAYS INDIVIDUAL SURVIVAL TIMES (DAYS ... STATISTICAL ANALYSIS OF SURVIVAL DATA FEMALE RATS FIRST TERMINAL SACRIFICE AT 728 DAYS INDIVIDUAL SURVIVAL TIMES (DAYS ... STATISTICAL ANALYSIS OF SURVIVAL DATA REPORT: PEIRPT11 LAB: Battelle Columbus OLEIC ACID DIETHANOLAMINE CONDENSATE DATE: 11/14/ ...
Survival Analysis-Wolfram Language Documentation
... fit a variety of survival models, and perform hypothesis tests. ... Survival analysis deals with time to an event in systems. ... Descriptive Survival Statistics ». Median - median life of survival data and distributions. Quantile ▪ Quartiles ▪ ... Survival analysis deals with time to an event in systems. Events can be death in biological systems and failure in technical ... Parametric Survival Estimators ». EstimatedDistribution - estimate parametric distribution from survival data. ...
Survival Analysis (MAT00039M) 2020-21 - Module catalogue, Student home, University of York
Survival Analysis. 2 hours 100. Module feedback. Current Department policy on feedback is available in the student handbook. ... To present a statistical methodology for the analysis of survival time data stemming from medical experiments where patients ... J P Klein & M L Moeschberger, Survival Analysis: Techniques for Censored and Truncated Data. ... Provide descriptive statistics and graphical summaries of information contained in data from survival experiments in different ...
Advaxis reports survival and new analysis for ADXS-HPV in cervical cancer
Advaxis announced final 12 month overall survival and additional data from Lm-LLO-E7-15, a randomized Phase 2 study evaluating ... Advaxis reports survival and new analysis for ADXS-HPV in cervical cancer. ... Final 12 month overall survival is 36% (39/110) with a current 18 month survival of 22% (16/73). This compares to 33% and 17%, ... "These data suggest that ADXS-HPV has the potential to become a non-chemotherapy treatment option capable of improving survival ...
Nursing Diagnoses in Children With Congenital Heart Disease: A Survival Analysis - Redorbit
Lee, E. T., & Wang, J. W. (2003). Statistical methods for survival data analysis (3rd ed.). Upper Saddle River, NJ: John Wiley ... Hosmer, D. W., & Lemeshow, S. (1999). Applied survival analysis: Regression modeling of time to event data. New York: John ... The survival rates for each diagnosis were analyzed separately and compared with survival, in relation to gender and age. The ... Nursing Diagnoses in Children With Congenital Heart Disease: A Survival Analysis. by Sam Savage ...
Long-Fall Survival: Analysis of the Collected Accounts by Jim Hamilton (Paperback) - Lulu
Survival Analysis in LGD Modeling by Jiri Witzany, Michal Rychnovsky, Pavel Charamza :: SSRN
The paper proposes an application of the survival time analysis methodology to estimations of the Loss Given Default (LGD) ... The paper proposes an application of the survival time analysis methodology to estimations of the Loss Given Default (LGD) ... The main advantage of the survival analysis approach compared to classical regression methods is that it allows exploiting ... Witzany, Jiri and Rychnovsky, Michal and Charamza, Pavel, Survival Analysis in LGD Modeling (March 18, 2010). Available at SSRN ...
Survival analysis of endometrial carcinoma associated with hereditary nonpolyposis colorectal cancer. - PubMed - NCBI
Survival analysis of endometrial carcinoma associated with hereditary nonpolyposis colorectal cancer.. Boks DE1, Trujillo AP, ... Survival rates were analyzed. The overall 5-year cumulative survival rates for patients with HNPCC-associated EC was 88% and 82 ... It is unknown, however, whether the survival rate of HNPCC-associated EC is higher than that of sporadic EC. The aim of our ... The outcomes in survival in EC in the general population and in women from families with HNPCC do not differ significantly. ...
Handbook of Survival Analysis - 1st Edition - John P. Klein - Hans C.
2020 by Chapman and Hall/CRC Handbook of Survival Analysis presents modern techniques and research problems in lifetime data a ... Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of ... Handbook of Survival Analysis By John P. Klein. , Hans C. van Houwelingen. , Joseph G. Ibrahim. , Thomas H. Scheike. ... to give a reference of modern survival analysis as well as to help practitioners with their survival data experiments.". - ...
Re: st:Survival analysis - dealing with Right truncated data
... From. Steve Samuels ,[email protected],. To. [email protected] ... Re: st:Survival analysis - dealing with Right truncated data. Date. Fri, 17 Aug 2012 14:56:00 -0400. Dear Themba: I have no ... RE: st:Survival analysis - dealing with Right truncated data *From: Phakathi, T.R. ,[email protected], ... RE: st:Survival analysis - dealing with Right truncated data *From: Phakathi, T.R. ,[email protected], ...
Survival Analysis Procedures :: SAS/STAT(R) 14.1 User's Guide
The SEVERITY procedure in SAS/ETS software is also a survival analysis procedure. ... The log of the survival time is modeled as a linear effect of covariates and a random disturbance term, the distribution of ... The following SAS/STAT procedures are specifically designed for analyzing survival data: ICLIFETEST. computes nonparametric ... You can use this procedure to compare the underlying survival distributions of two or more samples of interval-censored data. ...
Re: st:Survival analysis - dealing with Right truncated data
... From. Steve Samuels ,[email protected],. To. [email protected] ... Re: st:Survival analysis - dealing with Right truncated data. Date. Fri, 17 Aug 2012 10:59:03 -0400. Because you utilize no ... RE: st:Survival analysis - dealing with Right truncated data *From: Phakathi, T.R. ,[email protected], ... st:Survival analysis - dealing with Right truncated data *From: Phakathi, T.R. ,[email protected], ...
CurvesOverall survivalOutcomesDistributionsProbabilityHazards modelNonparametricPatient's survivalTruncationPatientsProgression-free surClinicalEstimating the Survival FunctionDifferencesSociology1997CurveProportional hazards regressionFrailtyResearchersMortalityMethods for survival dataColorectal cancerHazard and survival functionsCensoringObservationsOutcomeAnalyzeIntroductionEstimateEvent-free survivalModelsCumulative hazard functionEquality of the survivalData analysisPrognosticLogistic RegressionMedian survival timeFunctionTime-to-event dataTumorsFunctions2019EstimationModelMultiple imputation
Curves8
- To compare two survival curves produced from two groups A and B we use the rather curiously named log rank test,1 so called because it can be shown to be related to a test that uses the logarithms of the ranks of the data. (bmj.com)
- I am involved in a project where we are plotting survival curves for an event with a pretty low incidence, and the Kaplan-Meier curves (plotted using survminer) are pretty flat. (stackoverflow.com)
- 2003) studied the survival curves of newborn infants with these alterations. (redorbit.com)
- Then it discusses comparing survival curves. (causeweb.org)
- 1) Kaplan-Meier plots to visualize survival curves. (kdnuggets.com)
- Introduces fundamental concepts and techniques of survival analysis including censoring, hazard and survival functions, Kaplan-Meier curves and logrank tests. (jhsph.edu)
- Results - 2 Comparison of Survival Curves Test Statistics Method Chi-Square DF P-Value Log-Rank 0.06986 1 0.7915 Wilcoxon 0.7048 1 0.4012 There is no significant difference in survival between the two groups. (slideserve.com)
- This course will teach you clinical trial designs including randomized controlled trials, ROC curves, CI and tests for relative risk and odds ratio, and an introduction to survival analysis. (statistics.com)
Overall survival14
- Survival analysis often begins with examination of the overall survival experience through non-parametric methods, such as Kaplan-Meier (product-limit) and life-table estimators of the survival function. (amazonaws.com)
- Advaxis announced final 12 month overall survival and additional data from Lm-LLO-E7-15, a randomized Phase 2 study evaluating the safety and efficacy of ADXS-HPV +/- cisplatin in patients with recurrent cervical cancer. (yahoo.com)
- Final 12 month overall survival is 36% (39/110) with a current 18 month survival of 22% (16/73). (yahoo.com)
- TARRYTOWN, N.Y.--(BUSINESS WIRE)--Dec 10, 2010 - EpiCept Corporation (Nasdaq and Nasdaq OMX Stockholm Exchange: EPCT) today announced the results of a new analysis supporting Ceplene's (histamine dihydrochloride) favorable impact on overall survival and its activity with interleukin-2 (IL-2). (drugs.com)
- This outcome suggests that statistically significant improved overall survival could be achieved in an adequately powered clinical trial. (drugs.com)
- p=0.07) at the initial interim analysis, with a median of 20.3 months followup, that required 104 (24%) overall survival events. (urotoday.com)
- At the 2019 European Society of Medical Oncology (ESMO) Congress, Dr. Matthew Smith presented the final MFS analysis and the second interim analysis for overall survival. (urotoday.com)
- However, this second interim analysis for overall survival with 285 (67%) overall survival events, with a median 41.0 months followup, also did not yet reach the O'Brien-Fleming boundary. (urotoday.com)
- The 3rd and final overall survival analysis will occur ~2022 at 427 (100%) of events. (urotoday.com)
- however, there has not been formal statistical testing and that will not occur unless the overall survival results become statistically significant. (urotoday.com)
- In summary, although the overall survival data is not statistically significant at this time, we need to continue to follow the patients on the trial. (urotoday.com)
- Regardless of the ultimate results from the future final overall survival analysis, we need to consider that some patients in the placebo arm have crossed over to receive apalutamide, which has the potential to slightly damper the survival benefit from the therapeutic arm. (urotoday.com)
- An analysis of African-American and Caucasian patients with metastatic castration-resistant prostate cancer (mCRPC) demonstrated that there was no significant difference in overall survival (OS) between the 2 populations-a finding that was opposite of prior hypotheses, explained Susan Halabi, PhD. (onclive.com)
- The overall survival rates for those babies are 5.1 percent, and 3.4 percent without severe impairment. (christianpost.com)
Outcomes14
- The outcomes in survival in EC in the general population and in women from families with HNPCC do not differ significantly. (nih.gov)
- We searched 9 databases for cohort studies published between 2000 and 2017 in which researchers reported on survival or neurodevelopmental outcomes. (aappublications.org)
- As far as we know, there are no updated systematic reviews that have summarized the prognosis of both survival and functional outcomes for infants born at the limit of viability. (aappublications.org)
- At Square, we've experimented with survival analysis models to predict a variety of outcomes: from Seller churn and product conversions, to loan defaults on Capital. (medium.com)
- The Cox Model is widely used in the analysis of survival data and enables researchers to more easily identify the risks of specific factors for mortality or other survival outcomes among groups of patients with disparate characteristics. (eurekalert.org)
- Professor Cox changed how we analyze and understand the effect of natural or human-induced risk factors on survival outcomes, paving the way for powerful scientific inquiry and discoveries that have impacted human health worldwide," said Susan Ellenberg, chair of the International Prize in Statistics Foundation. (eurekalert.org)
- Multiple Survival Outcomes and Competing Risks. (indigo.ca)
- Data are limited with respect to whether ITH is an independent determinant of patient survival outcomes, across different cancer types. (nih.gov)
- Open Versus Robotic Cystectomy: A Propensity Score Matched Analysis Comparing Survival Outcomes. (urotoday.com)
- To assess the differential effect of robotic assisted radical cystectomy (RARC) versus open radical cystectomy (ORC) on survival outcomes in matched analyses performed on a large multicentric cohort. (urotoday.com)
- Patients treated with RARC and ORC have similar survival outcomes. (urotoday.com)
- This data is helpful in consulting patients until long term survival outcomes of level one evidence is available. (urotoday.com)
- Our initial hypothesis was that African-American men will have worse survival outcomes than Caucasian men. (onclive.com)
- However, when we did an adjusted analysis for important variables that might affect outcomes, like age, PSA levels, etc, we found that the hazard ratio was 0.81 in favor of African-American men. (onclive.com)
Distributions8
- Understanding the mechanics behind survival analysis is aided by facility with the distributions used, which can be derived from the probability density function and cumulative density functions of survival times. (amazonaws.com)
- Any serious endeavor into data analysis should begin with data exploration, in which the researcher becomes familiar with the distributions and typical values of each variable individually, as well as relationships between pairs or sets of variables. (amazonaws.com)
- Time-to-event data can be used to compute descriptive statistics, estimate parametric and nonparametric distributions, fit a variety of survival models, and perform hypothesis tests. (wolfram.com)
- You can use this procedure to compare the underlying survival distributions of two or more samples of interval-censored data. (sas.com)
- The log of the survival time is modeled as a linear effect of covariates and a random disturbance term, the distribution of which includes the Weibull, log-normal, and log-logistic distributions. (sas.com)
- Survival times are usually positive, and their distributions are rarely symmetric: there is often a small frequency of some high values. (bmj.com)
- Here we'll compare the survival distributions of two different groups by the famous statistical method of the log-rank test. (kdnuggets.com)
- Nonparametric Comparison of Survival Distributions. (indigo.ca)
Probability8
- As an example, we can use the cdf to determine the probability of observing a survival time of up to 100 days. (amazonaws.com)
- How do particular circumstances or characteristics increase or decrease the probability of survival? (wikipedia.org)
- Survival function S(t): The probability that a subject survives longer than time t. (wikipedia.org)
- I'm going to discuss probability functions, censoring and truncation, estimators of survival function, the Cox regression model, and the proportional hazards assumption, competing risk, selection bias in randomized clinical trials, frailty models and statistical software. (hstalks.com)
- In the previous article, we saw how we could analyze the survival probability for patients. (kdnuggets.com)
- Now we can predict the survival probability for both the groups. (kdnuggets.com)
- 3) We can find which treatment has the highest survival probability. (kdnuggets.com)
- The International Prize in Statistics recognizes a major achievement of an individual or team in the field of statistics and promotes understanding of the growing importance and diverse ways statistics, data analysis, probability and the understanding of uncertainty advance society, science, technology and human welfare. (eurekalert.org)
Hazards model2
Nonparametric3
- You can PROC ICLIFETEST to compute nonparametric estimates of the survival functions and to examine the equality of the survival functions through statistical tests. (sas.com)
- The book covers, very completely, the nuances of regression modeling with particular emphasis on binary and ordinal logistic regression and parametric and nonparametric survival analysis. (springer.com)
- Nonparametric Survival Curve Estimation. (indigo.ca)
Patient's survival2
- 1) What is the impact of certain clinical characteristics on patient's survival? (kdnuggets.com)
- This thesis explores different methods to predict the patient's survival chances using artificial neural networks (ANN). (dissertations.se)
Truncation1
- This text employs numerous actual examples to illustrate survival curve estimation, comparison of survivals of different groups, proper accounting for censoring and truncation, model variable selection, and residual analysis. (indigo.ca)
Patients33
- Suppose that you want to predict the survival time for patients receiving an experimental cancer treatment. (informit.com)
- After three years, some of the patients in the study have died, and you can compute the survival time for each of these patients. (informit.com)
- For example, variables of interest might be the lifetime of diesel engines, the length of time a person stayed on a job, or the survival time for heart transplant patients. (sas.com)
- Mortality among involuntarily admitted psychiatric patients: a survival analysis. (nih.gov)
- Only a few studies have examined mortality among committed psychiatric patients, and most of them suffer methodologically from selected populations, small samples, and inappropriate methods of data analysis. (nih.gov)
- To present a statistical methodology for the analysis of survival time data stemming from medical experiments where patients are subjected to a treatment. (york.ac.uk)
- The overall 5-year cumulative survival rates for patients with HNPCC-associated EC was 88% and 82% for patients with sporadic EC (p = 0.59). (nih.gov)
- In Stages IA, IB and IC, the survival rates of patients with HNPCC-associated EC and sporadic EC were 92% and 91%, respectively (p = 0.90). (nih.gov)
- So from this data, we can say that the medical researchers should focus more on the factors that lead to poor survival rates for male patients. (kdnuggets.com)
- 5) We can also find the median number of days of survival for patients. (kdnuggets.com)
- We are going to perform a thorough analysis of patients with lung cancer. (kdnuggets.com)
- Cancer studies for patients survival time analyses. (kdnuggets.com)
- 3) Are there differences in survival between groups of patients? (kdnuggets.com)
- SGEN ) today announced data from a post-hoc analysis examining progression-free survival (PFS) following treatment with ADCETRIS ® (brentuximab vedotin) versus last prior therapy in patients diagnosed with relapsed or refractory Hodgkin lymphoma (HL) post-autologous stem cell transplant (ASCT) or relapsed or refractory systemic anaplastic large cell lymphoma (sALCL). (aol.com)
- The post-hoc analysis compared investigator assessed PFS following ADCETRIS single-agent treatment to the last prior systemic therapy in patients taking part in two pivotal Phase 2 studies. (aol.com)
- The post-hoc analysis was conducted in patients with relapsed or refractory HL post-ASCT or relapsed or refractory sALCL in the intent-to-treat (ITT) population. (aol.com)
- In an analysis of the new heart organ allocation system for transplant patients in the U.S., researchers have identified a signal of a decrease in heart transplant survival rates. (news-medical.net)
- In designing this new trial, EpiCept will be guided by the results of the previous Phase III trial for Ceplene ® and more particularly by the results of a new subset analysis of 190 patients that were treated aggressively with consolidation therapy before being randomized into the trial. (drugs.com)
- Within this subset of patients, a difference in overall patient survival was seen in favor of Ceplene ® /IL-2 versus standard of care (p-value = 0.07, with a median overall benefit of 36 months). (drugs.com)
- As previously announced on December 5, 2010, a poster for Ceplene ® was presented at the 52nd Annual Meeting of the American Society of Hematology (ASH), which revealed the findings from a Bayesian meta-analysis comparing Ceplene + IL-2 versus IL-2 alone in leukemia free survival in AML patients in remission. (drugs.com)
- This article aims to estimate the specific survival of patients with penile cancer treated at a state tertiary oncology hospital. (scielo.br)
- In patients with compromised lymph nodes, the mean survival time was 30.59 months, and in patients with no compromised lymph nodes, the mean survival time was 75.83 months. (scielo.br)
- These patients exhibit 100% survival and no metastasis. (pnas.org)
- Preoperative triglycerides predict post-coronary artery bypass graft survival in diabetic patients: a sex analysis. (diabetesjournals.org)
- Despite cross-sectional studies and isolated longitudinal analyses in patients without coronary artery disease, the suggestion that triglyceride levels are relevant to subsequent cardiovascular events in the setting of diabetes remains controversial. (diabetesjournals.org)
- This study evaluates the predictive value of serum triglyceride levels on mortality in post-coronary artery bypass graft (CABG) diabetic patients with subsequent analysis by sex. (diabetesjournals.org)
- Several recently published clinical studies using chemotherapy for patients with solid tumors have reported survival data by comparing the actuarial survival of patients responding to chemotherapy to the survival of patients not responding to chemotherapy (1-3). (annals.org)
- The survival rate of pediatric ALL patients has improved to approximately 90% in recent years, especially for groups with good prognosis. (scielo.br)
- This data should not discourage us from continuing to treat patients with high risk M0 CRPC with apalutamide, given the confirmed MFS benefit from the primary endpoint analysis. (urotoday.com)
- 3 This is reflected in current UK guidelines for the management of patients with colorectal cancer, which state that there is "no evidence" of survival benefit with intensive follow up 4 or that it is "not worth while. (bmj.com)
- Applications where such data appear are survival of twins, survival of married couples and families, time to failure of right and left kidney for diabetic patients, life history data with time to outbreak of disease, complications and death, recurrent episodes of diseases and cross-over studies with time responses. (nhbs.com)
- From the documentation I was able to understand the key concepts of survival analysis and run a few simple analysis on clinical data gathered by our collaborators from a cohort of cancer patients. (github.com)
- Although all one needs for survival analysis is two arrays with the time duration patients were observed and whether death occured during that time, in reality you're more likely to get from clinicians an Excel file with dates of birth, diagnosis, and death along with other relevant information on the clinical cohort. (github.com)
Progression-free sur1
- In biomedical research, the analysis of time-to-death (hence the name survival analysis) or time to some composite endpoint such as progression-free survival is the most prominent advanced statistical technique. (uni-ulm.de)
Clinical9
- After this course, students should be able to understand and use survival analysis as, e.g., required in standard clinical trials with a survival outcome. (uni-ulm.de)
- In clinical practice, historically, survival analysis has relied on low-dimensional patient characteristics, such as age, sex, and other clinical features in combination with histopathological evaluations such as stage and grade 6 . (nature.com)
- The event will also comprise lectures from two keynote speakers, Hein Putter (" Dynamic Prediction in Clinical Survival Analysis ") and Dimitris Rizopoulos (" Joint Models for Longitudinal and Time-to-Event Data "), as well as poster sessions and an evening social. (warwick.ac.uk)
- Survival analysis is normally carried out using parametric models, semi-parametric models, non-parametric models to estimate the survival rate in clinical research. (wikipedia.org)
- However recently Bayesian models are also used to estimate the survival rate due to their ability to handle design and analysis issues in clinical research. (wikipedia.org)
- Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. (indigo.ca)
- To describe the clinical and laboratory features of children and adolescents with acute lymphoblastic leukemia treated at three referral centers in Ceará and evaluate prognostic factors for survival, including age, gender, presenting white blood cell count, immunophenotype, DNA index and early response to treatment. (scielo.br)
- The purpose of this study was to describe the clinical and laboratory features of children and adolescents with ALL treated at three referral centers in the state of Ceará, Brazil and evaluate prognostic factors for survival, including age, gender, presenting WBC count, immunophenotype, DNA index and early response to treatment. (scielo.br)
- Now we want to split our cohort according to values in several variables ( e.g. gender, age, presence/absence of a clinical marker), and check what's the progression of survival, and if differences between groups are significant. (github.com)
Estimating the Survival Function1
- Then it discusses estimating the survival function with the Kaplan-Meier curve. (causeweb.org)
Differences5
- The unobservable differences between individuals are usually considered as random variation, but in survival analysis, observing over time, this individual variation cannot be ignored. (hindawi.com)
- No significant differences were observed between the cohorts when survival analysis was used to examine survival experiences in the community. (nih.gov)
- Differences in mean survival times were identified in children not more than 4 months of age with respect to the following diagnoses: impaired gas exchange, ineffective breathing pattern, activity intolerance, delayed growth and development, and decreased cardiac output. (redorbit.com)
- High ITH tends to be associated with lower levels of tumor-infiltrating immune cells, but this association is not able to explain the observed survival differences. (nih.gov)
- Using firm level data on Italian and Turkish manufacturing industries we investigate the differences in survival patterns of foreign owned and domestic firms testing the hypothesis of foreign multinational enterprises (FMNEs) 'foot-loose' behavior (in line with seminal studies such as Görg and Strobl, 2003, Mata and Portugal, 2002). (repec.org)
Sociology2
- This topic is called reliability theory or reliability analysis in engineering, duration analysis or duration modelling in economics, and event history analysis in sociology. (wikipedia.org)
- This topic is called reliability theory or reliability analysis in engineering, and duration analysis or duration modeling in ________ or sociology . (thefullwiki.org)
19972
- Venables W.N., Ripley B.D. (1997) Survival Analysis. (springer.com)
- This example uses the Acute Myelogenous Leukemia survival data set "aml" from the "survival" package in R. The data set is from Miller (1997) and the question is whether the standard course of chemotherapy should be extended ('maintained') for additional cycles. (wikipedia.org)
Curve8
- We look at the data using a Kaplan-Meier survival curve. (bmj.com)
- The survival curve is unchanged at the time of a censored observation, but at the next event after the censored observation the number of people "at risk" is reduced by the number censored between the two events. (bmj.com)
- As one can see the effect of the censored observations is to reduce the number at risk without affecting the survival curve S(t). (bmj.com)
- I am trying to figure out how to generate a survival curve and calculate P-value of a specific time point and not of the entire survival curve. (stackoverflow.com)
- That's because the flat region in the survival curve for those on icp=0 occurs earlier than it does for those on icp=1. (stata.com)
- Calculating Kaplan -Meier Survival Curve At the start of the study (t0), proportion surviving = 1. (slideserve.com)
- For censored observations survival curve remains unchanged. (slideserve.com)
- The S gives us the now-familiar survival curve. (safaribooksonline.com)
Proportional hazards regression3
- Use proportional hazards regression techniques to make inferences about the possible relationship between survival time and potential risk factors. (york.ac.uk)
- Finally, there is a discussion of Cox Proportional Hazards regression analysis. (causeweb.org)
- 4) Cox proportional hazards regression to find out the effect of different variables like age, sex, weight on survival. (kdnuggets.com)
Frailty2
- Frailty models are frequently used to analyse clustered survival data in medical contexts. (dissertations.se)
- Frailty models, which are random effects models for survival data, made a second approach, extending from the most simple shared frailty models, which are considered in detail, to models with more complicated dependence structures over individuals or over time. (nhbs.com)
Researchers7
- Researchers are often interested in estimates of survival time at which 50% or 25% of the population have died or failed. (amazonaws.com)
- The University of Warwick is proudly hosting the third annual Survival Analysis for Junior Researchers conference, an event aimed at career-young statisticians with an interest in the statistical analysis of time-to-event data and related topics. (warwick.ac.uk)
- With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. (routledge.com)
- Therefore, in the present systematic review, we aimed to summarize cohort studies in which researchers have examined the prognosis of survival and risk of impairments as assessed by using the Bayley Scales of Infant Development (BSID) 12 , 13 for each week of GA from 22 through 27 weeks. (aappublications.org)
- This text is suitable for researchers and statisticians working in the medical and other life sciences as well as statisticians in academia who teach introductory and second-level courses on survival analysis. (springer.com)
- The Cox proportional hazard model is basically a regression model generally used by medical researchers to find out the relationship between the survival time of a subject and one or more predictor variables. (kdnuggets.com)
- Examples are simple and straightforward while still illustrating key points, shedding light on the application of survival analysis in a way that is useful for graduate students, researchers, and practitioners in biostatistics. (indigo.ca)
Mortality4
- Originally the analysis was concerned with time from treatment until death, hence the name, but survival analysis is applicable to many areas as well as mortality. (bmj.com)
- Several studies of mortality after the death of a spouse, summarized in a meta-analysis [ 2 ], demonstrated that the population hazard rate is substantially elevated immediately after the death of the spouse, before gradually declining. (hindawi.com)
- Coverage expansions do not save money--they increase overall health spending--but are relatively cost-effective compared to other policies affecting mortality, according to a recent economic analysis. (eurekalert.org)
- Multivariable competing risk analyses accounting for death of other causes, tested association of surgical technique with recurrence and cancer specific mortality (CSM), before and after propensity score matching. (urotoday.com)
Methods for survival data1
- In short, by the end of the course, students should feel comfortable understanding and applying all commonly-used methods for survival data to data arising from a wide variety of disciplines. (wcupa.edu)
Colorectal cancer2
Hazard and survival functions1
- In this thesis, essential concepts and quantities within the field of survival analysis, such as censoring, hazard and survival functions, are introduced. (kth.se)
Censoring2
- Censoring / Censored observation: Censoring occurs when we have some information about individual survival time, but we do not know the survival time exactly. (wikipedia.org)
- This type of censoring, named right censoring , is handled in survival analysis. (kdnuggets.com)
Observations3
- Survival analysis is the statistics of censored time to event data, to which standard regression and classification techniques generally do not apply, due to the uncertain group memberships of the observations. (stackoverflow.com)
- If these early observations of a substantial decline in heart transplant survival persist, and we certainly hope that they do not, several programs will be under stress for their very survival. (news-medical.net)
- At each time interval from 1 to n survival time is calculated by S (ti) = ( ri - di / ri ) x S (ti -1) Where di = number of events at time ti For censored observations di = 0. (slideserve.com)
Outcome8
- This approach includes the type of problem addressed by survival analysis, the outcome variable considered, the need to take into account "censored data," what a survival function and a hazard function represent, basic data layouts for a survival analysis, the goals of survival analysis, and some examples of survival analysis. (springer.com)
- For the application of predicting cancer survival outcome, we also show that the meta-learning framework with a few samples is able to achieve competitive performance with learning from scratch with a significantly larger number of samples. (nature.com)
- Accurate prediction of its survival outcome has been an interesting and challenging problem in cancer research over the past decades. (nature.com)
- In studying a specific rare cancer's survival outcome, one interesting problem is whether it is possible to make use of the abundant data that is available for more common relevant cancers and leverage that information to improve the survival prediction. (nature.com)
- 11 Our analyses of the Framingham data focus on time from enrolment to the combined outcome of first hospitalisation for myocardial infarction (MI), fatal coronary heart disease or death, and they exclude 86 individuals with prevalent MI at baseline. (bmj.com)
- A successful outcome from the planned U.S. survival trial for Ceplene ® would, in our view, establish Ceplene ® as a cornerstone of remission maintenance therapy in the U.S. (drugs.com)
- The identification of prognostic factors, an improved stratification of risk groups and survival analysis have made it possible to identify presenting features of the disease and evaluate treatment outcome in referral centers in Ceará, thereby contributing to current knowledge of the epidemiology of pediatric malignancies, both locally and throughout all Brazil. (scielo.br)
- In Survival Analysis the outcome of interest is time to an event The event does not necessarily have to be death It can be HRT and first thrombotic episode OR Exclusive breast feeding and another pregnancy OR Exercise and time to maximum tolerance. (slideserve.com)
Analyze5
- To analyze the relationship between nursing diagnoses and survival rates in children with congenital heart disease. (redorbit.com)
- The purpose of this study was to analyze the survival of children with congenital heart disease in relation to nursing diagnoses. (redorbit.com)
- Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. (indigo.ca)
- This book describes the principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R. . The intended audience includes students taking a master's level course in statistical theory and analysts who need to work with survival time data. (indigo.ca)
- Survival analysis is a set of methods used to model and analyze survival data, also called time-to-event data. (statistics.com)
Introduction4
- Kleinbaum D.G. (1996) Introduction to Survival Analysis. (springer.com)
- an introduction to the analysis of survival data. (wiley.com)
- Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research. (ecampus.com)
- This book fills this gap, providing a comprehensive, self-contained introduction to regression modeling used in the analysis of time-to-event data in epidemiological, biostatistical, and other health-related research. (worldcat.org)
Estimate7
- S(t-) is the Kaplan-Meier estimate of survival just prior to t , ignoring the grouping. (springer.com)
- The step function form of the survival function is apparent in the graph of the Kaplan-Meier estimate. (amazonaws.com)
- Because of its simple relationship with the survival function, $S(t)=e^{-H(t)}$, the cumulative hazard function can be used to estimate the survival function. (amazonaws.com)
- I would like to estimate the impact of the covariates on Survival. (stata.com)
- We used the Kaplan-Meier method to estimate survival and the Cox model was used to assess prognostic factors. (scielo.br)
- In a typical survival test procedure where the goal is to estimate the sample size, the user enters power, alpha, and the desired population survival parameters. (ncss.com)
- In first part of this paper we present an analysis of part of this portfolio using the Cox proportional hazard model (Cox, 1972) to estimate transition intensities. (uni-muenchen.de)
Event-free survival4
- The proposed methods are used to investigate the association between the so called event-free survival time of children with acute lymphoblastic leukemia (ALL) and a variety of risk factors in a heavily right-censored dataset. (kth.se)
- The greatest influence of triglyceride levels was observed on overall (1.89, 1.30-2.73) and event-free survival (1.49, 1.06-2.08) in women. (diabetesjournals.org)
- Overall and event-free survival were estimated by Kaplan-Meier analysis and compared using the log-rank test. (scielo.br)
- The 5-year overall and event-free survival rates were lower than those reported for developed countries. (scielo.br)
Models10
- The aim of this module is to familiarize the student with the basic concepts and models in survival analysis. (warwick.ac.uk)
- The content will also include parametric and semiparametric models which are very common in survival analysis. (warwick.ac.uk)
- I am trying to predict follow-up time using several survival models, both parametric and semi-parametric. (stackoverflow.com)
- We're excited to share some of our current work in survival analysis models and deep learning. (medium.com)
- Traditional survival analysis models such as the Kaplan-Meier (KM) and Cox Proportional Hazard (CoxPH) models both have some very rigid assumptions and limitations - for example, CoxPH models assume that hazard functions are strictly linear combinations of an individual's features, which might not be true given your feature space. (medium.com)
- I recently was looking for methods to apply to time-to-event data and started exploring Survival Analysis Models . (r-bloggers.com)
- Survival Models and Data Analysis. (researchandmarkets.com)
- We explore these issues both for firms' survival and for employment growth by using respectively hazard models and GMM system estimates. (repec.org)
- In this article, we review some basic concepts of survival analysis and also make recommendations about how and when to perform each particular test using SPSS, Stata and R. In particular, we describe a simple way of defining cut-off points for continuous variables and the appropriate and inappropriate uses of the Kaplan-Meier method and Cox proportional hazard regression models. (haematologica.org)
- Discusses special topics, such as non-proportional hazards models and multivariate survival times. (jhsph.edu)
Cumulative hazard function1
- From these equations we can see that the cumulative hazard function $H(t)$ and the survival function $S(t)$ have a simple monotonic relationship, such that when the Survival function is at its maximum at the beginning of analysis time, the cumulative hazard function is at its minimum. (amazonaws.com)
Equality of the survival1
- When provided with a grouping variable in a strata statement in proc lifetest, SAS will produce graphs of the survival function (unless other graphs are requested) stratified by the grouping variable as well as tests of equality of the survival function across strata. (amazonaws.com)
Data analysis8
- The emphasis is on application of the concepts and ideasinvolved in data analysis and interpretation of results, rather than the underlying statistical theory. (wcupa.edu)
- The emphasis is on application of the concepts and ideas involved in data analysis and interpretation of results, rather than the underlying statistical theory. (wcupa.edu)
- Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. (routledge.com)
- Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. (springer.com)
- Data analysis, particularly users of S-PLUS, with experience in the application of these tools will benefit the most from this book. (springer.com)
- A background in basic linear regression and categorical data analysis, as well as a basic knowledge of calculus and the R system, will help the reader to fully appreciate the information presented. (indigo.ca)
- Because the computational part of data analysis ultimately identifies shape characteristics in the organization of data sets, the mathematics of shape recognition in high dimensions continues to be a crucial part of data analysis. (pnas.org)
- The non-inferiority logrank test is the test that is anticipated for data analysis. (ncss.com)
Prognostic3
- a class of statistical procedures for estimating survival rates and making inferences about effects of treatment, prognostic factors, and other concerns. (drugs.com)
- The stratified Cox regression model is used to evaluate the effects of these prognostic factors, based on separate analysis for each trial, and on the combined data from both trials. (scirp.org)
- As shown by the multivariate analysis, age and baseline white blood cell count were independent prognostic factors. (scielo.br)
Logistic Regression2
- Dr. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. (springer.com)
- Professor Harrell has produced a book that offers many new and imaginative insights into multiple regression, logistic regression and survival analysis, topics that form the core of much of the statistical analysis carried out in a variety of disciplines, particularly in medicine. (springer.com)
Median survival time3
- The median survival time was 49 months, 89% presented themselves between stages I and II. (scielo.br)
- C: median survival time for control group. (statsdirect.com)
- E: median survival time for experimental group. (statsdirect.com)
Function10
- Above we see the table of Kaplan-Meier estimates of the survival function produced by proc lifetest. (amazonaws.com)
- Suppose that you suspect that the survival function is not the same among some of the groups in your study (some groups tend to fail more quickly than others). (amazonaws.com)
- In most real world scenarios, the form of the true hazard function is either unknown or too complex to model, making the Cox model the most popular method in survival analysis 5 . (nature.com)
- performs quantile regression for survival data by modeling the quantiles of the lifetime variable as a function of the covariates. (sas.com)
- It starts with a definition of the survival function. (causeweb.org)
- 0.005), which is statistically significant and denotes that we have to reject our null hypothesis and admit that the survival function for both groups is significantly different. (kdnuggets.com)
- Survival function and hazard function. (kdnuggets.com)
- Dr. Lindquist is actively involved in developing new analysis methods to enhance our ability to understand brain function using human neuroimaging. (leanpub.com)
- PROC LIFETEST produces two other plots that give useful information about the shape of the hazard function, the log-survival (LS) plot and the log-log survival (LLS) plot. (safaribooksonline.com)
- The expected number of survivors, in a ________ of n individuals, is n × S ( t ), assuming the same survival function for all. (thefullwiki.org)
Time-to-event data7
- This is one reason why the analysis of time-to-event data is based on hazards. (uni-ulm.de)
- The conference is aimed at statisticians with an interest in the statistical analysis of time-to-event data who are in the early stages of their career. (warwick.ac.uk)
- Survival analysis is a statistical method for analyzing survival data, which is longitudinal time to event data. (hstalks.com)
- Failure times for engines, survival times after a disease diagnosis, subscription durations for a service - these are all examples of time-to-event data. (statistics.com)
- Survival analysis is concerned with "time-to-event" data. (statistics.com)
- This course will teach you the various methods used for modeling and evaluating survival data or time-to event data. (statistics.com)
- Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. (nhbs.com)
Tumors1
- Here, we report the results of a pan-cancer analysis of over 3300 tumors, showing a varied landscape of ITH across 9 cancer types. (nih.gov)
Functions3
- Basic quantifiers of survival: survival, hazard and cumulative hazard functions. (york.ac.uk)
- Non-parametric estimation of the survival and cumulative hazard functions. (york.ac.uk)
- 2.4 Comparison of Survival Functions. (wiley.com)
20191
- 140.606.11 Survival Analysis, 2019 Summer Inst. (jhsph.edu)
Estimation3
- Key issues include estimation (how long will an industrial part last) and hypothesis testing for experiments (does therapy A improve survival over control). (statistics.com)
- PASS contains over 25 tools for sample size estimation and power analysis of survival methods, including logrank tests, non-inferiority, group-sequential, and conditional power, among others. (ncss.com)
- If you need help on how to use PASS sample size estimation software, use the links below to jump to a survival topic. (ncss.com)
Model11
- In log-normal regression, the analyst replaces the raw survival response measure with its natural logarithm and then uses standard regression tools to model the transformed measure. (informit.com)
- I'm new on the topic of survival analysis and currently I have to build a multi-state model. (stackoverflow.com)
- Finally, we demonstrate that the meta-learning model implicitly prioritizes genes based on their contribution to survival prediction and allows us to identify important pathways in cancer. (nature.com)
- The traditional hazard rate in a survival model is a measure of population risk and does not provide direct information on the unobservable individual risk. (hindawi.com)
- The purpose of survival analysis is to model the underlying distribution of the failure time variable and to assess the dependence of the failure time variable on the independent variables. (sas.com)
- Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increased considerably in all areas of scientific inquiry, mainly as a result of model-building methods available in modern statistical software packages. (worldcat.org)
- The extensive and detailed coverage of the process of survival model fitting, as well as the applied exercises, make this textbook an excellent choice for an applied survival analysis course. (worldcat.org)
- In short, the N-MTLR model provides a great solution to survival modeling when you're all but guaranteed that your feature space exhibits nonlinear behaviour (e.g. some of your features take on a power law distribution). (medium.com)
- Harrell very nicely walks the reader through numerous analyses, explaining and defining his model-building choices at each step in the process. (springer.com)
- The frailties, or random effects, are used to model the association between individual survival times within clusters. (dissertations.se)
- The ________ for a survival model, in the presence of censored data, is formulated as follows. (thefullwiki.org)
Multiple imputation1
- We also provide practical advice on how to check the proportional hazards assumption and briefly review the role of relative survival and multiple imputation. (haematologica.org)