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.
Risk Factors
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.
Multivariate Analysis
Cross-Sectional Studies
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.
Biostatistics
Prevalence
Socioeconomic Factors
ROC Curve
Models, Statistical
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.
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.
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.
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.
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.
Risk Assessment
Prospective Studies
Questionnaires
Health Surveys
Longitudinal Studies
Pregnancy
France
Residence Characteristics
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.
Confidence Intervals
Epidemiologic Methods
Incidence
Sensitivity and Specificity
Follow-Up Studies
Linear Models
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.
Hospital Mortality
Food Microbiology
Severity of Illness Index
Prognosis
European Continental Ancestry Group
Genetic Predisposition to Disease
Likelihood Functions
Treatment Outcome
Data Interpretation, Statistical
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.
Health Status
Ethnic Groups
Genotype
Models, Biological
Alcohol Drinking
Risk
Models, Theoretical
African Americans
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.
Body Mass Index
An indicator of body density as determined by the relationship of BODY WEIGHT to BODY HEIGHT. BMI=weight (kg)/height squared (m2). BMI correlates with body fat (ADIPOSE TISSUE). Their relationship varies with age and gender. For adults, BMI falls into these categories: below 18.5 (underweight); 18.5-24.9 (normal); 25.0-29.9 (overweight); 30.0 and above (obese). (National Center for Health Statistics, Centers for Disease Control and Prevention)
Obesity
A status with BODY WEIGHT that is grossly above the acceptable or desirable weight, usually due to accumulation of excess FATS in the body. The standards may vary with age, sex, genetic or cultural background. In the BODY MASS INDEX, a BMI greater than 30.0 kg/m2 is considered obese, and a BMI greater than 40.0 kg/m2 is considered morbidly obese (MORBID OBESITY).
Occupational Exposure
Statistics as Topic
Life Style
Data Collection
Algorithms
Polymorphism, Single Nucleotide
HIV Infections
Hypertension
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.
Polymorphism, Genetic
The regular and simultaneous occurrence in a single interbreeding population of two or more discontinuous genotypes. The concept includes differences in genotypes ranging in size from a single nucleotide site (POLYMORPHISM, SINGLE NUCLEOTIDE) to large nucleotide sequences visible at a chromosomal level.
Models, Genetic
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.
Analysis of Variance
Analysis of the effect of conversion from open to closed surgical intensive care unit. (1/24374)
OBJECTIVE: To compare the effect on clinical outcome of changing a surgical intensive care unit from an open to a closed unit. DESIGN: The study was carried out at a surgical intensive care unit in a large tertiary care hospital, which was changed on January 1, 1996, from an open unit, where private attending physicians contributed and controlled the care of their patients, to a closed unit, where patients' medical care was provided only by the surgical critical care team (ABS or ABA board-certified intensivists). A retrospective review was undertaken over 6 consecutive months in each system, encompassing 274 patients (125 in the open-unit period, 149 in the closed-unit period). Morbidity and mortality were compared between the two periods, along with length-of-stay (LOS) and number of consults obtained. A set of independent variables was also evaluated, including age, gender, APACHE III scores, the presence of preexisting medical conditions, the use of invasive monitoring (Swan-Ganz catheters, central and arterial lines), and the use of antibiotics, low-dose dopamine (LDD) for renal protection, vasopressors, TPN, and enteral feeding. RESULTS: Mortality (14.4% vs. 6.04%, p = 0.012) and the overall complication rate (55.84% vs. 44.14%, p = 0.002) were higher in the open-unit group versus the closed-unit group, respectively. The number of consults obtained was decreased (0.6 vs. 0.4 per patient, p = 0.036), and the rate of occurrence of renal failure was higher in the open-unit group (12.8% vs. 2.67%, p = 0.001). The mean age of the patients was similar in both groups (66.48 years vs. 66.40, p = 0.96). APACHE III scores were slightly higher in the open-unit group but did not reach statistical significance (39.02 vs. 36.16, p = 0.222). There were more men in the first group (63.2% vs. 51.3%). The use of Swan-Ganz catheters or central and arterial lines were identical, as was the use of antibiotics, TPN, and enteral feedings. The use of LDD was higher in the first group, but the LOS was identical. CONCLUSIONS: Conversion of a tertiary care surgical intensive care unit from an open to closed environment reduced dopamine usage and overall complication and mortality rates. These results support the concept that, when possible, patients in surgical intensive care units should be managed by board-certified intensivists in a closed environment. (+info)Antiphospholipid, anti-beta 2-glycoprotein-I and anti-oxidized-low-density-lipoprotein antibodies in antiphospholipid syndrome. (2/24374)
Antiphospholipid antibodies (aPL), anti-beta 2-glycoprotein I (anti-beta 2-GPI) and anti-oxidized-low-density lipoprotein (LDL) antibodies are all implicated in the pathogenesis of antiphospholipid syndrome. To investigate whether different autoantibodies or combinations thereof produced distinct effects related to their antigenic specificities, we examined the frequencies of antiphospholipid syndrome (APS)-related features in the presence of different antibodies [aPL, beta 2-GPI, anti-oxidized low density lipoprotein (LDL)] in 125 patients with APS. Median follow-up was 72 months: 58 patients were diagnosed as primary APS and 67 as APS plus systemic lupus erythematosus (SLE). Anticardiolipin antibodies (aCL), anti-beta 2-GPI and anti-oxidized LDL antibodies were determined by ELISA; lupus anticoagulant (LA) by standard coagulometric methods. Univariate analysis showed that patients positive for anti-beta 2-GPI had a higher risk of recurrent thrombotic events (OR = 3.64, 95% CI, p = 0.01) and pregnancy loss (OR = 2.99, 95% CI, p = 0.004). Patients positive for anti-oxidized LDL antibodies had a 2.24-fold increase in the risk of arterial thrombosis (2.24, 95% CI, p = 0.03) and lower risk of thrombocytopenia (OR = 0.41 95% CI, p = 0.04). Patients positive for aCL antibodies had a higher risk of pregnancy loss (OR = 4.62 95% CI, p = 0.001). When these data were tested by multivariate logistic regression, the association between anti-beta 2-GPI and pregnancy loss and the negative association between anti-oxidized LDL antibodies and thrombocytopenia disappeared. (+info)Capture-recapture models including covariate effects. (3/24374)
Capture-recapture methods are used to estimate the incidence of a disease, using a multiple-source registry. Usually, log-linear methods are used to estimate population size, assuming that not all sources of notification are dependent. Where there are categorical covariates, a stratified analysis can be performed. The multinomial logit model has occasionally been used. In this paper, the authors compare log-linear and logit models with and without covariates, and use simulated data to compare estimates from different models. The crude estimate of population size is biased when the sources are not independent. Analyses adjusting for covariates produce less biased estimates. In the absence of covariates, or where all covariates are categorical, the log-linear model and the logit model are equivalent. The log-linear model cannot include continuous variables. To minimize potential bias in estimating incidence, covariates should be included in the design and analysis of multiple-source disease registries. (+info)Risk factors for injuries and other health problems sustained in a marathon. (4/24374)
OBJECTIVES: To identify risk factors for injuries and other health problems occurring during or immediately after participation in a marathon. METHODS: A prospective cohort study was undertaken of participants in the 1993 Auckland Citibank marathon. Demographic data, information on running experience, training and injuries, and information on other lifestyle factors were obtained from participants before the race using an interviewer-administered questionnaire. Information on injuries and other health problems sustained during or immediately after the marathon were obtained by a self administered questionnaire. Logistic regression analyses were undertaken to identify significant risk factors for health problems. RESULTS: This study, one of only a few controlled epidemiological studies that have been undertaken of running injuries, has identified a number of risk factors for injuries and other health problems sustained in a marathon. Men were at increased risk of hamstring and calf problems, whereas women were at increased risk of hip problems. Participation in a marathon for the first time, participation in other sports, illness in the two weeks before the marathon, current use of medication, and drinking alcohol once a month or more, were associated with increased self reported risks of problems. While increased training seemed to increase the risk of front thigh and hamstring problems, it may decrease the risk of knee problems. There are significant but complex relations between age and risk of injury or health problem. CONCLUSIONS: This study has identified certain high risk subjects and risk factors for injuries and other health problems sustained in a marathon. In particular, subjects who have recently been unwell or are taking medication should weigh up carefully the pros and cons of participating. (+info)Early mycological treatment failure in AIDS-associated cryptococcal meningitis. (5/24374)
Cryptococcal meningitis causes significant morbidity and mortality in persons with AIDS. Of 236 AIDS patients treated with amphotericin B plus flucytosine, 29 (12%) died within 2 weeks and 62 (26%) died before 10 weeks. Just 129 (55%) of 236 patients were alive with negative cerebrospinal fluid (CSF) cultures at 10 weeks. Multivariate analyses identified that titer of cryptococcal antigen in CSF, serum albumin level, and CD4 cell count, together with dose of amphotericin B, had the strongest joint association with failure to achieve negative CSF cultures by day 14. Among patients with similar CSF cryptococcal antigen titers, CD4 cell counts, and serum albumin levels, the odds of failure at week 10 for those without negative CSF cultures by day 14 was five times that for those with negative CSF cultures by day 14 (odds ratio, 5.0; 95% confidence interval, 2.2-10.9). Prognosis is dismal for patients with AIDS-related cryptococcal meningitis. Multivariate analyses identified three components that, along with initial treatment, have the strongest joint association with early outcome. Clearly, more effective initial therapy and patient management strategies that address immune function and nutritional status are needed to improve outcomes of this disease. (+info)The Sock Test for evaluating activity limitation in patients with musculoskeletal pain. (6/24374)
BACKGROUND AND PURPOSE: Assessment within rehabilitation often must reflect patients' perceived functional problems and provide information on whether these problems are caused by impairments of the musculoskeletal system. Such capabilities were examined in a new functional test, the Sock Test, simulating the activity of putting on a sock. SUBJECTS AND METHODS: Intertester reliability was examined in 21 patients. Concurrent validity, responsiveness, and predictive validity were examined in a sample of 337 patients and in subgroups of this sample. RESULTS: Intertester reliability was acceptable. Sock Test scores were related to concurrent reports of activity limitation in dressing activities. Scores also reflected questionnaire-derived reports of problems in a broad range of activities of daily living and pain and were responsive to change over time. Increases in age and body mass index increased the likelihood of Sock Test scores indicating activity limitation. Pretest scores were predictive of perceived difficulties in dressing activities after 1 year. CONCLUSION AND DISCUSSION: Sock Test scores reflect perceived activity limitations and restrictions of the musculoskeletal system. (+info)Modified cuspal relationships of mandibular molar teeth in children with Down's syndrome. (7/24374)
A total of 50 permanent mandibular 1st molars of 26 children with Down's syndrome (DS) were examined from dental casts and 59 permanent mandibular 1st molars of normal children were examined from 33 individuals. The following measurements were performed on both right and left molars (teeth 46 and 36 respectively): (a) the intercusp distances (mb-db, mb-d, mb-dl, db-ml, db-d, db-dl, db-ml, d-dl, d-ml, dl-ml); (b) the db-mb-ml, mb-db-ml, mb-ml-db, d-mb-dl, mb-d-dl, mb-dl-d angles; (c) the area of the pentagon formed by connecting the cusp tips. All intercusp distances were significantly smaller in the DS group. Stepwise logistic regression, applied to all the intercusp distances, was used to design a multivariate probability model for DS and normals. A model based on 2 distances only, mb-dl and mb-db, proved sufficient to discriminate between the teeth of DS and the normal population. The model for tooth 36 for example was as follows: p(DS) = (e(30.6-5.6(mb-dl)+25(mb-db)))/(1 + e(30.6 5.6(mb-dl)+25(mb db))). A similar model for tooth 46 was also created, as well as a model which incorporated both teeth. With respect to the angles, significant differences between DS and normals were found in 3 out of the 6 angles which were measured: the d-mb-dl angle was smaller than in normals, the mb-d-dl angle was higher, and the mb-dl-d angle was smaller. The dl cusp was located closer to the centre of the tooth. The change in size occurs at an early stage, while the change in shape occurs in a later stage of tooth formation in the DS population. (+info)Organizational and environmental factors associated with nursing home participation in managed care. (8/24374)
OBJECTIVE: To develop and test a model, based on resource dependence theory, that identifies the organizational and environmental characteristics associated with nursing home participation in managed care. DATA SOURCES AND STUDY SETTING: Data for statistical analysis derived from a survey of Directors of Nursing in a sample of nursing homes in eight states (n = 308). These data were merged with data from the On-line Survey Certification and Reporting System, the Medicare Managed Care State/County Data File, and the 1995 Area Resource File. STUDY DESIGN: Since the dependent variable is dichotomous, the logistic procedure was used to fit the regression. The analysis was weighted using SUDAAN. FINDINGS: Participation in a provider network, higher proportions of resident care covered by Medicare, providing IV therapy, greater availability of RNs and physical therapists, and Medicare HMO market penetration are associated with a greater likelihood of having a managed care contract. CONCLUSION: As more Medicare recipients enroll in HMOs, nursing home involvement in managed care is likely to increase. Interorganizational linkages enhance the likelihood of managed care participation. Nursing homes interested in managed care should consider upgrading staffing and providing at least some subacute services. (+info) Definition: Genetic predisposition to disease refers to the likelihood that an individual may develop a particular disease due to inherited genetic mutations or variations. These mutations or variations can increase the risk of developing certain diseases, but they do not guarantee that the individual will definitely develop the disease.
Explanation: Genetic predisposition to disease is influenced by multiple factors, including the presence of inherited genetic mutations or variations, environmental factors, and lifestyle choices. The likelihood of developing a particular disease can be increased by inherited genetic mutations that affect the functioning of specific genes or biological pathways. For example, inherited mutations in the BRCA1 and BRCA2 genes increase the risk of developing breast and ovarian cancer.
The expression of genetic predisposition to disease can vary widely, and not all individuals with a genetic predisposition will develop the disease. Additionally, many factors can influence the likelihood of developing a particular disease, such as environmental exposures, lifestyle choices, and other health conditions.
Inheritance patterns: Genetic predisposition to disease can be inherited in an autosomal dominant, autosomal recessive, or multifactorial pattern, depending on the specific disease and the genetic mutations involved. Autosomal dominant inheritance means that a single copy of the mutated gene is enough to cause the disease, while autosomal recessive inheritance requires two copies of the mutated gene. Multifactorial inheritance involves multiple genes and environmental factors contributing to the development of the disease.
Examples of diseases with a known genetic predisposition:
1. Huntington's disease: An autosomal dominant disorder caused by an expansion of a CAG repeat in the Huntingtin gene, leading to progressive neurodegeneration and cognitive decline.
2. Cystic fibrosis: An autosomal recessive disorder caused by mutations in the CFTR gene, leading to respiratory and digestive problems.
3. BRCA1/2-related breast and ovarian cancer: An inherited increased risk of developing breast and ovarian cancer due to mutations in the BRCA1 or BRCA2 genes.
4. Sickle cell anemia: An autosomal recessive disorder caused by a point mutation in the HBB gene, leading to defective hemoglobin production and red blood cell sickling.
5. Type 1 diabetes: An autoimmune disease caused by a combination of genetic and environmental factors, including multiple genes in the HLA complex.
Understanding the genetic basis of disease can help with early detection, prevention, and treatment. For example, genetic testing can identify individuals who are at risk for certain diseases, allowing for earlier intervention and preventive measures. Additionally, understanding the genetic basis of a disease can inform the development of targeted therapies and personalized medicine."
Obesity is defined as an excess accumulation of body fat, usually 20% or more above the healthy weight range for an individual's height. This can be determined through a variety of methods, including measuring body mass index (BMI), waist circumference, and skinfold measurements. Obesity is a complex condition that is influenced by genetics, lifestyle, and environmental factors, and it is associated with a number of serious health risks, including type 2 diabetes, cardiovascular disease, sleep apnea, and certain types of cancer.
There are several different types of obesity, including:
1. Central obesity: This type of obesity is characterized by excess fat around the waistline, which can increase the risk of health problems such as type 2 diabetes and cardiovascular disease.
2. Peripheral obesity: This type of obesity is characterized by excess fat in the hips, thighs, and arms.
3. Visceral obesity: This type of obesity is characterized by excess fat around the internal organs in the abdominal cavity.
4. Mixed obesity: This type of obesity is characterized by both central and peripheral obesity.
Obesity can be caused by a variety of factors, including genetics, lack of physical activity, poor diet, sleep deprivation, and certain medications. Treatment for obesity typically involves a combination of lifestyle changes, such as increased physical activity and a healthy diet, and in some cases, medication or surgery may be necessary to achieve weight loss.
Preventing obesity is important for overall health and well-being, and can be achieved through a variety of strategies, including:
1. Eating a healthy, balanced diet that is low in added sugars, saturated fats, and refined carbohydrates.
2. Engaging in regular physical activity, such as walking, jogging, or swimming.
3. Getting enough sleep each night.
4. Managing stress levels through relaxation techniques, such as meditation or deep breathing.
5. Avoiding excessive alcohol consumption and quitting smoking.
6. Monitoring weight and body mass index (BMI) on a regular basis to identify any changes or potential health risks.
7. Seeking professional help from a healthcare provider or registered dietitian for personalized guidance on weight management and healthy lifestyle choices.
HIV Infections Medical Definition
HIV (human immunodeficiency virus) infection is a condition in which the body is infected with HIV, a type of retrovirus that attacks the body's immune system. HIV infection can lead to AIDS (acquired immunodeficiency syndrome), a condition in which the immune system is severely damaged and the body is unable to fight off infections and diseases.
There are several ways that HIV can be transmitted, including:
1. Sexual contact with an infected person
2. Sharing of needles or other drug paraphernalia with an infected person
3. Mother-to-child transmission during pregnancy, childbirth, or breastfeeding
4. Blood transfusions ( although this is rare in developed countries due to screening processes)
5. Organ transplantation (again, rare)
The symptoms of HIV infection can be mild at first and may not appear until several years after infection. These symptoms can include:
1. Fever
2. Fatigue
3. Swollen glands in the neck, armpits, and groin
4. Rash
5. Muscle aches and joint pain
6. Night sweats
7. Diarrhea
8. Weight loss
If left untreated, HIV infection can progress to AIDS, which is a life-threatening condition that can cause a wide range of symptoms, including:
1. Opportunistic infections (such as pneumocystis pneumonia)
2. Cancer (such as Kaposi's sarcoma)
3. Wasting syndrome
4. Neurological problems (such as dementia and seizures)
HIV infection is diagnosed through a combination of blood tests and physical examination. Treatment typically involves antiretroviral therapy (ART), which is a combination of medications that work together to suppress the virus and slow the progression of the disease.
Prevention methods for HIV infection include:
1. Safe sex practices, such as using condoms and dental dams
2. Avoiding sharing needles or other drug-injecting equipment
3. Avoiding mother-to-child transmission during pregnancy, childbirth, or breastfeeding
4. Post-exposure prophylaxis (PEP), which is a short-term treatment that can prevent infection after potential exposure to the virus
5. Pre-exposure prophylaxis (PrEP), which is a daily medication that can prevent infection in people who are at high risk of being exposed to the virus.
It's important to note that HIV infection is manageable with proper treatment and care, and that people living with HIV can lead long and healthy lives. However, it's important to be aware of the risks and take steps to prevent transmission.
Breast Neoplasms also known as Breast Cancer, is a condition where abnormal cell growth develops in the breast tissue. It originates from various cell types including milk-producing glands (lobules), milk ducts, connective tissue, and fatty or fibrous tissue.
There are different types of Breast Neoplasms such as:
1. Fibroadenomas: These are benign tumors that are made up of glandular and fibrous tissues. They are usually small and round, with a smooth surface, and can be moved easily under the skin.
2. Cysts: These are fluid-filled sacs that can develop in both breast tissue and milk ducts. They are usually benign and can disappear on their own or be drained surgically.
3. Ductal Carcinoma In Situ (DCIS): This is a precancerous condition where abnormal cells grow inside the milk ducts. If left untreated, it can progress to invasive breast cancer.
4. Invasive Ductal Carcinoma (IDC): This is the most common type of breast cancer and starts in the milk ducts but grows out of them and invades surrounding tissue.
5. Invasive Lobular Carcinoma (ILC): It originates in the milk-producing glands (lobules) and grows out of them, invading nearby tissue.
Breast Neoplasms can cause various symptoms such as a lump or thickening in the breast or underarm area, skin changes like redness or dimpling, change in size or shape of one or both breasts, discharge from the nipple, and changes in the texture or color of the skin.
Treatment options for Breast Neoplasms may include surgery such as lumpectomy, mastectomy, or breast-conserving surgery, radiation therapy which uses high-energy beams to kill cancer cells, chemotherapy using drugs to kill cancer cells, targeted therapy which uses drugs or other substances to identify and attack cancer cells while minimizing harm to normal cells, hormone therapy, immunotherapy, and clinical trials.
It is important to note that not all Breast Neoplasms are cancerous; some are benign (non-cancerous) tumors that do not spread or grow.
Hypertension (HTN) is a condition where the blood pressure in your arteries is elevated. It is a major risk factor for heart disease, stroke, and other cardiovascular conditions. Hypertension is defined as a systolic blood pressure of 140 mmHg or higher, a diastolic blood pressure of 90 mmHg or higher, or both.
There are two types of hypertension:
1. Primary Hypertension: This type of hypertension has no identifiable cause and is also known as essential hypertension. It accounts for about 90% of all cases of hypertension.
2. Secondary Hypertension: This type of hypertension is caused by an underlying medical condition or medication. It accounts for about 10% of all cases of hypertension.
Some common causes of secondary hypertension include:
* Kidney disease
* Adrenal gland disorders
* Hormonal imbalances
* Certain medications
* Sleep apnea
* Cocaine use
There are also several risk factors for hypertension, including:
* Age (the risk increases with age)
* Family history of hypertension
* Obesity
* Lack of exercise
* High sodium intake
* Low potassium intake
* Stress
Hypertension is often asymptomatic, and it can cause damage to the blood vessels and organs over time. Some potential complications of hypertension include:
* Heart disease (e.g., heart attacks, heart failure)
* Stroke
* Kidney disease (e.g., chronic kidney disease, end-stage renal disease)
* Vision loss (e.g., retinopathy)
* Peripheral artery disease
Hypertension is typically diagnosed through blood pressure readings taken over a period of time. Treatment for hypertension may include lifestyle changes (e.g., diet, exercise, stress management), medications, or a combination of both. The goal of treatment is to reduce the risk of complications and improve quality of life.
Logistic model
... may refer to: Logistic function - a continuous sigmoidal curve Logistic map - a discrete version, which exhibits ... chaotic behavior Logistic regression This disambiguation page lists articles associated with the title Logistic model. If an ...
Logistic model tree
... s are based on the earlier idea of a model tree: a decision tree that has linear regression models at its ... a logistic model tree (LMT) is a classification model with an associated supervised training algorithm that combines logistic ... Niels Landwehr, Mark Hall, and Eibe Frank (2003). Logistic model trees (PDF). ECML PKDD.{{cite conference}}: CS1 maint: uses ... doi:10.1007/s10994-005-0466-3. Sumner, Marc, Eibe Frank, and Mark Hall (2005). Speeding up logistic model tree induction (PDF ...
Reverse logistics network modelling
"What is Reverse Logistics?", Reverse Logistics Magazine, Winter/Spring 2006. Fleischmann, Moritz. "Reverse logistics network ... In order to model reverse logistics network from an economics point of view, the following simplified reverse logistics system ... "Reverse logistics network design: Review of models and solution techniques". academia.edu. Retrieved 3 June 2015. (All articles ... According to the introduced model the main differences between forward and reverse logistics can be identified: Uncertainty on ...
Linear discriminant analysis
Hilbe, J. M. (2009). Logistic Regression Models. Chapman & Hall/CRC Press. ISBN 978-1-4200-7575-5. Mika, S.; et al. (1999). " ... However, when discriminant analysis' assumptions are met, it is more powerful than logistic regression. Unlike logistic ... Edward Altman's 1968 model is still a leading model in practical applications. In computerised face recognition, each face is ... Logistic regression or other methods are now more commonly used. The use of discriminant analysis in marketing can be described ...
Third-party logistics
"Fifth Party Logistic Model (5PL)". LogisticsGlossary. Retrieved 21 September 2018. Raue, J.S. & Wieland, A. (2015), The ... The logistics department of a producing firm can also be a first party logistics provider if they have own transport assets and ... Third-party logistics (abbreviated as 3PL, or TPL) in logistics and supply chain management is an organization's use of third- ... Logistics is the core competence of third-party logistics providers. Providers may have better related knowledge and greater ...
Piecewise linear function
Landwehr, N.; Hall, M.; Frank, E. (2005). "Logistic Model Trees" (PDF). Machine Learning. 59 (1-2): 161-205. doi:10.1007/s10994 ... Muggeo, V. M. R. (2008). "Segmented: an R package to fit regression models with broken-line relationships" (PDF). R News. 8: 20 ... Muggeo, V. M. R. (2003). "Estimating regression models with unknown break‐points". Statistics in Medicine. 22 (19): 3055-3071. ...
Rasch model
The three-parameter logistic model relaxes both these assumptions and the two-parameter logistic model allows varying slopes. ... model with one item parameter. However, rather than being a particular IRT model, proponents of the model regard it as a model ... Specifically, in the original Rasch model, the probability of a correct response is modeled as a logistic function of the ... Linacre J.M. (2005). Rasch dichotomous model vs. One-parameter Logistic Model. Rasch Measurement Transactions, 19:3, 1032 Rasch ...
Contingency table
Christensen, Ronald (1997). Log-linear models and logistic regression. Springer Texts in Statistics (Second ed.). New York: ... Discrete Statistical Models with Social Science Applications. North Holland, 1980. Bishop, Y. M. M.; Fienberg, S. E.; Holland, ...
Accelerated life testing
Srivastava, P.W.; Shukla, R. (2008-09-01). "A Log-Logistic Step-Stress Model". IEEE Transactions on Reliability. 57 (3): 431- ... When the appropriate model is not known in advance, or there exist multiple accepted models, the test must estimate what model ... When the model is known in advance the test only needs to identify the parameters for the model, however it is necessary to ... its parameters) One would then use a known model or attempt to fit a model to relate how each stress factor influenced the ...
Categorical variable
Standard statistical models, such as those involving the categorical distribution and multinomial logistic regression, assume ... Christensen, Ronald (1997). Log-linear models and logistic regression. Springer Texts in Statistics (Second ed.). New York: ... and separate regression models (logistic regression, probit regression, etc.). As a result, the term "categorical variable" is ... The identity of a particular word (e.g., in a language model): One of V possible choices, for a vocabulary of size V. For ease ...
Nambury S. Raju
Raju, N. S., Steinhaus, S. D., Edwards, J. E., & DeLessio, J. (1991). A logistic regression model for personnel selection. ... Raju, N. S., & Guttman, I. (1965). A new working formula for the split-half reliability model. Educational and Psychological ... Goldman, S. H., & Raju, N. S. (1986). Recovery of one- and two-parameter logistic item parameters: An empirical study. ... Clemans, W. V., Lunneborg, C. E., & Raju, N. S. (2004). Professor paul horst's legacy: A differential prediction model for ...
Malthusian growth model
Verhulst named the model a logistic function. Albert Allen Bartlett - a leading proponent of the Malthusian Growth Model ... A Malthusian growth model, sometimes called a simple exponential growth model, is essentially exponential growth based on the ... Minnesota Logistic Model from Steve McKelvey, Department of Mathematics, Saint Olaf College, Northfield, Minnesota Laws Of ... Malthusian models have the following form: P ( t ) = P 0 e r t {\displaystyle P(t)=P_{0}e^{rt}} where P0 = P(0) is the initial ...
Pseudo-R-squared
ISBN 978-0-7619-2208-7.[page needed] Tjur, Tue (2009). "Coefficients of determination in logistic regression models". American ... where LM and L0 are the likelihoods for the model being fitted and the null model, respectively. The Cox and Snell index is ... In logistic regression analysis, there is no agreed upon analogous measure, but there are several competing measures each with ... Logistic regression will always be heteroscedastic - the error variances differ for each value of the predicted score. For each ...
Somers' D
Methods for fitting such models include logistic and probit regression. Several statistics can be used to quantify the quality ... O'Connell, A. A. (2006). Logistic Regression Models for Ordinal Response Variables. SAGE Publications. (Nonparametric ... It is also used as a quality measure of binary choice or ordinal regression (e.g., logistic regressions) and credit scoring ... for binary classification or prediction of binary outcomes including binary choice models in econometrics. ...
Multinomial logistic regression
The multinomial logistic model also assumes that the dependent variable cannot be perfectly predicted from the independent ... Logistic} (0,1)} then b X ∼ Logistic ( 0 , b ) . {\displaystyle bX\sim \operatorname {Logistic} (0,b).} This means that the ... The formulation of binary logistic regression as a log-linear model can be directly extended to multi-way regression. That is, ... It is also possible to formulate multinomial logistic regression as a latent variable model, following the two-way latent ...
Concept of Stratification
Asadabadi, M. R., Saberi, M., & Chang, E. (2017, July). Logistic informatics modelling using concept of stratification (CST). ... Ghildyal, A., & Chang, E. IT Governance and Benefit Models: Literature Review and Proposal of a Novel Approach. Asadabadi, M. R ...
Robust optimization
Yu, Chian-Son; Li, Han-Lin (2000). "A robust optimization model for stochastic logistic problems". International Journal of ... A very popular model of local robustness is the radius of stability model: ρ ^ ( x , u ^ ) := max ρ ≥ 0 { ρ : u ∈ S ( x ) , ∀ u ... Modern robust optimization deals primarily with non-probabilistic models of robustness that are worst case oriented and as such ... The non-probabilistic (deterministic) model has been and is being extensively used for robust optimization especially in the ...
Case-control study
When the logistic regression model is used to model the case-control data and the odds ratio is of interest, both the ... ISBN 978-0-7817-5564-1. Prentice RL, Pyke R (1979). "Logistic disease incidence models and case-control studies". Biometrika. ...
Log-linear analysis
ISBN 978-0-471-22618-5. Christensen, R. (1997). Log-Linear Models and Logistic Regression (2nd ed.). Springer. Petitjean, F.; ... The saturated model is the model that includes all the model components. This model will always explain the data the best, but ... Other possible models are the conditional equiprobability model and the mutual dependence model. Each log-linear model can be ... Log-linear analysis models can be hierarchical or nonhierarchical. Hierarchical models are the most common. These models ...
Grant Duwe
"Using Logistic Regression Modeling to Predict Sexual Recidivism". Sexual Abuse: A Journal of Research and Treatment. 24 (4): ...
Bradley-Terry model
Machine learning, Statistical models, Logistic regression, Regression models). ... The Bradley-Terry model can then be used to derive a full ranking. The model is named after R. A. Bradley and M. E. Terry, who ... The Bradley-Terry model is a probability model that can predict the outcome of a paired comparison. Given a pair of individuals ... Ordinal regression Rasch model Scale (social sciences) Elo rating system Thurstonian model Hunter, David R. (2004). "MM ...
Bridget Terry Long
An Application of the Conditional Logistic Choice Model." Journal of Econometrics, vol. 121, no. 1-2: pp. 271-296. DOI: 10.1016 ...
Metalog distribution
Wang, Mingliang; Rennolls, Keith (2005). "Tree diameter distribution modelling: Introducing the logit-logistic distribution". ... The log-logistic distribution, also known as the Fisk distribution in economics, is a special case of the log metalog where b l ... The logit-logistic distribution is a special case of the logit metalog where a i = 0 {\displaystyle a_{i}=0} for all i > 2 {\ ... This ordering was chosen so that the first two terms in the resulting metalog quantile function correspond to the logistic ...
Pierre François Verhulst
He is best known for the logistic growth model. Verhulst developed the logistic function in a series of three papers between ... Population dynamics Logistic map Logistic distribution Verhulst, Pierre-François (1838). "Notice sur la loi que la population ... Although the continuous-time logistic equation is often compared to the logistic map because of similarity of form, it is ... Published as:Cramer, J. S. (2004). "The early origins of the logit model". Studies in History and Philosophy of Science Part C ...
CP-GEP
The CP-GEP model is a logistic regression model. A repeated nested cross-validation scheme (double loop cross validation) was ... The CP-GEP model was developed by the Mayo Clinic and SkylineDx BV, and it has been clinically validated in multiple studies. ... The CP-GEP model classifies patients as low or high risk for nodal metastasis based on patient age at melanoma biopsy (clinical ... The specific genes included in this CP-GEP model are MLANA, PLAT, ITGB3, SERPINE2, LOXL4, IL8, TGFBR1, and GDF15. The sample ...
Psychometric software
... and 3 parameter logistic models as well as the partial credit model and generalized partial credit model. It can also generate ... 2 and 3 parameter logistic models, graded response models, partial credit and generalized partial credit models, rating scale ... Rasch dichotomous model vs. One-parameter Logistic Model [3]. Rasch Measurement Transactions [4], 2005, 19:3 p. 1032 "MIRT". ... IRTEQ supports various popular unidimensional IRT models: Logistic models for dichotomous responses (with 1, 2, or 3 parameters ...
Joseph Hilbe
Modeling Count Data (Cambridge University Press, 2014), and Logistic Regression Models (Chapman & Hall/CRC, 2009). Modeling ... Hilbe made a number of contributions to the fields of count response models and logistic regression. Among his most influential ... ". "Modeling count data , Statistical theory and methods , Cambridge University Press". "Logistic Regression Models - 1st ... Logistic Regression Models, Chapman & Hall/CRC Press (2009) ISBN 978-1-4200-7575-5 Hilbe, Joseph M., Solutions Manual for ...
Log-logistic distribution
The log-logistic has been used as a simple model of the distribution of wealth or income in economics, where it is known as the ... The log-logistic distribution can be used as the basis of an accelerated failure time model by allowing α {\displaystyle \alpha ... The log-logistic distribution has been used in hydrology for modelling stream flow rates and precipitation. Extreme values like ... Its Gini coefficient is 1 / β {\displaystyle 1/\beta } . The log-logistic has been used as a model for the period of time ...
Mark Reckase
His dissertation was titled Development and application of a multivariate logistic latent trait model. Reckase began his career ... Reckase, Mark (1972-01-01). "Development and Application of a Multivariate Logistic Latent Trait Model". Psychology - ... Reckase, M. (1979). Unifactor latent trait models applied to multifactor tests: Results and implications. Journal of ... his dissertation was on the early development of a multidimensional item response model and he went on to write a book on the ...
Odds ratio
The OR plays an important role in the logistic model. Suppose a radiation leak in a village of 1,000 people increased the ... Logistic regression is one way to generalize the odds ratio beyond two binary variables. Suppose we have a binary response ... Due to the widespread use of logistic regression, the odds ratio is widely used in many fields of medical and social science ... If we use multiple logistic regression to regress Y on X, Z1, ..., Zp, then the estimated coefficient β ^ x {\displaystyle {\ ...
El Paso, Texas
"Hueco Bolson groundwater model" (PDF). Archived from the original (PDF) on October 16, 2021. Retrieved November 4, 2022. ... The fourth publicly traded company is Western Refining Logistics, also traded in the NYSE. It is a Western Refining subsidiary ... In May 2021 a major developer announced plans for a Master Planned Community in the Northeast modeled after Scarborough's ... which owns, operates, develops, and acquires terminals, storage tanks, pipelines, and other logistics assets. More than 70 ...
Resource curse
One study re-examined the Haber-Menaldo analysis, using Haber and Menaldo's own data and statistical models. It reports that ... how θ-logistic density dependence affects mutualistic positive feedback". doi:10.1101/108175. {{cite journal}}: Cite journal ... enduring traits that gets left out of the model, which could increase the explanation power of the argument. The authors claim ... Examining its Suitability as a Model. Springer. p. 81. ISBN 978-1137015020. "Turning Oil into Cash: How Developing Countries ...
Revoscalepy
The package contains functions for creating linear model, logistic regression, random forest, decision tree and boosted ...
Scuba set
Other models provide two cam bands for security. A cam band can also be used on a sling or sidemount scuba set to attach the ... Parrish, F. A.; Pyle, R. L. (2001). "Surface logistics and consumables for open-circuit and closed-circuit deep mixed-gas ... Eldred sold the first Porpoise Model CA single hose scuba early in 1952. Early scuba sets were usually provided with a plain ...
Veterans benefits for post-traumatic stress disorder in the United States
Near the end of World War I, the U.S. Congress passed legislation establishing an indemnity model for veterans' disability ... The companies with current VBA contracts are Logistics Health, Inc. (LHI); Veterans Evaluation Services (VES); Vet Fed; and QTC ... with the current indemnity model established near the end of World War I. The Department of Veterans Affairs (VA) began to ...
Length of stay
It is useful to be able to predict an individual's expected length of stay or to model length of stay to determine factors that ... Within regression approaches, linear, log-normal and logistic regression approaches have been applied, but have been criticised ... Various analyses have sought to model length of stay in different condition contexts. This has usually been done with ... "Modeling length of stay in hospital and other right skewed data : comparison of phase-type, gamma and log-normal distributions ...
Job interview
Essentially, the process model illustrates that the interview is not an isolated interaction, but rather a complex process that ... interview day logistics, different types of interviews, advantages of structured interviews). It could also include a section ... Stone, Dianna L.; Colella, Adrienne (April 1996). "A Model of Factors Affecting the Treatment of Disabled Individuals in ... Fletch, 1990 Levashina, Julia; Campion, Michael A. (15 November 2006). "A Model of Faking Likelihood in the Employment ...
Kecheng Liu
Zhang, R., Zhang, Z., Liu, K., Zhang, J. (2013, eds.) Proceedings of 3rd International Conference on Logistics, Informatics and ... business processing modelling, alignment of business and IT strategies, co-design of business and IT systems, pervasive ... normative modelling of software agents, e-commerce systems, digital strategy and leadership." More recently, these interests ... Enterprise modelling experts, University of Twente alumni, Academics of Staffordshire University, Fellows of the British ...
Automated planning and scheduling
In AI planning, planners typically input a domain model (a description of a set of possible actions which model the domain) as ... Typical examples of domains are block-stacking, logistics, workflow management, and robot task planning. Hence a single domain- ... Models and policies must be adapted. Solutions usually resort to iterative trial and error processes commonly seen in ... In known environments with available models, planning can be done offline. Solutions can be found and evaluated prior to ...
Port of Aalborg
... is an inter-model inland port providing logistics solutions by water, road and rail with a focus on developing ... Port of Aalborg Logistics A/S Aalborg Stevedore Company A/S Port of Aalborg Research & Development Port of Aalborg Real Estate ...
1919 Motor Transport Corps convoy
The heavy trucks included three examples of each of three wartime commercial models in the 3 to 5-1/2 ton range being ... Military logistics of the United States, 1919 in the United States, Road transportation in the United States, 20th-century ...
United States Merchant Marine Academy
Navy David Taylor Model Basin; inducted into USMMA Hall of Distinguished Graduates in 2008. Romulo Espaldon (1950) First rear ... intermodal logistics, marine engineering, maritime law, maritime insurance, or defense contracting.[citation needed] About 1/3 ... Marine Transportation Maritime Logistics and Security Marine Engineering Marine Engineering Systems Marine Engineering and ... are Marine Transportation and Maritime Logistics and Security. Marine transportation students learn about ship navigation, ...
Coexistence theory
Given this model, the average fitness of a species j is k j = 1 s j ( ∑ l = 1 c j l v l K l R − ∑ m a j m K m P − μ i ) {\ ... Each resource type exhibits logistic growth with intrinsic rate of increase, rRl, and carrying capacity, KRl = 1/αRl, such that ... The system of equations describes a model of trophic interactions between three sets of species: focal species, their resources ... The 2008 Neutral theory by Stephen P. Hubbell attempts to model biodiversity through a migration-speciation-extinction balance ...
Volkswagen Chattanooga Assembly Plant
In November 2011, VW announced that the 2012 model of the Passat was named the 2012 Motor Trend Car of the Year. In December ... Ludwig, Christopher (May 24, 2016). "Supply Chain Conference: Mexican and intermodal shockwaves". Automotive Logistics. ... Production began in April 2011 with the model year 2012 Passat B7 (initially called the Passat NMS (New Midsize Sedan)), ... Marcum, Ed (May 25, 2011). "Chattanooga Volkswagen plant up and running, making fuel-efficient Passat model". Knoxville News ...
Teufel (manufacturer)
Warehousing and logistics are handled in Hamburg. Teufel's product range includes various audio and hi-fi categories, active ... The first products were loudspeaker sets.In 1990, Teufel changed its distribution model, from specialist and retail outlets to ...
Qingdao Port
Reuters, August 2014 New Qingdao model of BRI cooperation Qingdao Port became the first port in the country whose sea-rail ... and the ROK's Port of Busan and aimed to build a shipping and logistics center in Northeast Asia. In May, 2014, Qingdao Port ... it was revealed that the firm was involved in two lawsuits with the global warehousing firm Pacorini Logistics, claiming a ... The Asian Journal of Shipping and Logistics, Volume 34, Issue 2, June 2018, Pages 83-90. "Qingdao Port smart system a world ...
Para (Special Forces)
However, after several logistic and administrative obstacles, these plans were abandoned, and they continue to be trained and ... the rifle will most likely be a model belonging to Sako's TRG series D'costa, Ian (19 March 2019). "Indian snipers will be ... logistic training, trade-craft training is imparted by the intelligence agencies. The training drills involve live ammunition ...
Andrey Melnichenko (industrialist)
It has manufacturing, logistic and distribution facilities in Russia, Belgium, Lithuania, Estonia, China, Germany, Kazakhstan, ... In 2005, Melnichenko married Serbian former pop singer and model Aleksandra Nikolić in the South of France. They have two ... Its coal, power generation and logistics enterprises in 12 Russian regions employ over 70,000 people. According to S&P Global ... backed by logistics assets; and developing general and special purpose fertilisers simultaneously, in constant close contact ...
Inca army
Similar to the European models, it consisted of an axe blade with a spearhead on the back side, being above the 1.5 meters but ... The Inca army's military effectiveness was based on two main elements: logistics and discipline. In order to facilitate the ...
Wil van der Aalst
Workflow management: models, methods, and systems. MIT press, 2002; 2004. Dumas, Marlon, Wil M. van der Aalst, and Arthur H. ... "Timed colored Petri nets and their application to logistics" under supervision of Jaap Wessels and Kees van Hee. In 1992 he ... This work influenced industry standards such as the Business Process Execution Language (BPEL), the Business Process Modeling ... Enterprise modelling experts, Members of the Royal Netherlands Academy of Arts and Sciences, Software engineering researchers, ...
E-government
In this model, the G2C model applies the strategy of customer relationship management (CRM) with business concept. By managing ... e-logistics and e-procurement as priority areas. In 2002, Iran published a detailed report named TAKFA (Barnameye Tose-e va ... In this model, users can engage in dialogue with agencies and post problems, comments, or requests to the agency. conducting ... The primary delivery models of e-government are classified depending on who benefits. In the development of the public sector ...
Big Safari
... and logistics support for special purpose weapons systems derived from existing aircraft and systems. To that end, the program ... the RC-135V and RC-135W model aircraft are part of the "Rivet Joint" program. The program is still operational as of 6 May, ...
National Museum of Brazil
A third site, located in the city of Saquarema, is used as a support and logistics center for field activities. Finally, the ... produced with the techniques of modeling, incision, dotted lines, and appliqué, imbued with aesthetic features that suggest the ...
1980 Andalusian autonomy initiative referendum
Accusations on the UCD national government's attempts to undermine the referendum's logistics would keep going over further ... a delay in the regulation of postal voting and the introduction of a different model of ballot to those used in the Basque and ...
Isle of Wight Rifles
One raid by 8th Hampshire against 'Beach Post' was regarded as a model of its kind, and earned the battalion high praise, as ... "Isle of Wight Rifles", 165 Port & Maritime Regt., Royal Logistics Corps. The uniform of the Isle of Wight Rifles was Rifle ... Under the Strategic Defence Review New Chapter 17 Port and Maritime Regiment, Royal Logistic Corps agreed to take the Island's ...
Jagdgeschwader 27
The logistics strain on the Luftwaffe was already showing. From 10 to 12 May, the number of serviceable machines in JG 27 fell ... G-14s and even the very latest K models. There was no proper organisation any more: the depot staff just said, "There are the ... Logistics were stretched and communications were in a parlous state. I./JG 21, attached to JG 27, reported 30 Bf 109s available ... Supplies were few as logistics stretched. JG 27 took to impounding every Bf 109 that landed from other units, syphoning fuel to ...
Sándor J. Kovács
J. Physiology (Modeling in Physiology) 1997:H1527-H1536. Kovács SJ, Jr., Barzilai B, Perez J. Evaluation of diastolic function ... Stiffness and relaxation components of the exponential and logistic time-constants may be used to derive a load-independent ... The linearity of the model allows solution of the inverse problem of diastole, using the digitized clinical Doppler E-wave ... They then seek to validate the model predictions using human, in vivo physiologic measurements of pressures (high fidelity ...
Environmental effects of shipping
"Svalbard Tour Boat Ushers New Technology-And a New Business Model". Marine Propulsion. 1 August 2022. Retrieved 18 August 2022 ... Cambridge: Cambridge University Press[page needed] "4 Challenges in International Shipping". CLX Logistics Blog. Blue Bell, PA ... CLX Logistics. 11 September 2015. Retrieved 5 April 2018. United Nations Environment Programme in collaboration with GEF, the ... an activity-based emission model". Atmospheric Environment. 42 (4): 667-676. Bibcode:2008AtmEn..42..667S. doi:10.1016/j. ...
C. Fitz
The film culminates with Jewel and her Catch community becoming a national model of how to fight discrimination and serve the ... Fitz was the pilot producer handling financials, product placement, logistics for casting, production, post, and co-wrote the ...
Logistic Sigmoid Market Model - Wolfram Demonstrations Project
The distribution of buyers is modeled by the Bell curve.;; ... The market for a new good grows according to a logistic curve ... The market for a new good grows according to a logistic curve if the number of buyers adopting it at a given time follows a ... Black-Scholes Option Model. Michael Kelly (Stuart GSB, Illinois Institute of Technology) ... Michael Schreiber Logistic Sigmoid Market Model. http://demonstrations.wolfram.com/LogisticSigmoidMarketModel/. Wolfram ...
Endogeneity in Logistic Regression Models - Volume 11, Number 3-March 2005 - Emerging Infectious Diseases journal - CDC
Endogeneity in logistic regression models. Emerg Infect Dis. 2005;11:503-504.PubMedGoogle Scholar ... Endogeneity in Logistic Regression Models. Volume 11, Number 3-March 2005. Article Views: 429. Data is collected weekly and ... Avery, G., Ethelberg, S., & Mølbak, K. (2005). Endogeneity in Logistic Regression Models. Emerging Infectious Diseases, 11(3), ... Avery G, Ethelberg S, Mølbak K. Endogeneity in Logistic Regression Models. Emerging Infectious Diseases. 2005;11(3):503-505. ...
Coordinated Development of Logistics Development and Low-Carbon Environmental Economy Base on AHP-DEA Model
... this paper puts forward the related promotion strategies for the coordinated development of logistics development and logistics ... The research results show that the system coupling degree in Hainan Province is about 0.9, indicating that the logistics ... Therefore, the research on the coordinated development of logistics development and LCEE is very necessary in the development ... Firstly, this paper discusses the development level of logistics industry in Hainan Province from five aspects: energy ...
The One Parameter Logistic Model - Assessment Systems
The One Parameter Logistic Model is a dichotomous model from item response theory (IRT), a psychometric paradigm for evaluating ... The One Parameter Logistic Model (OPLM or 1PL or IRT 1PL) is one of the three main dichotomous models in the Item Response ... The OPLM combines mathematical properties of the Rasch model with the flexibility of the Two Parameter Logistic Model (2PL or ... Background behind the One Parameter Logistic Model. IRT employs mathematical models assuming that the probability that an ...
Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the...
Models with robust variance estimators in Cox and Poisson regressions and variance corrected by the scale parameter in Poisson ... In this paper we explore alternatives for modeling data of such studies with techniques that directly estimate the prevalence ... Cox/Poisson regression with robust variance, and log-binomial regression performed equally well when the model was correctly ... correct estimates and are a better alternative for the analysis of cross-sectional studies with binary outcomes than logistic ...
Preventing Chronic Disease | Metabolic Syndrome Among Adults in New York City, 2004 New York City Health and Nutrition...
Multiple logistic regression models. In the final model, BMI and age remained positively associated with MetS (Figure 2). ... We constructed multiple logistic regression models to identify factors independently associated with MetS. We entered each ... We assessed multicollinearity in the final model; the highest level of correlation among covariates was less than 0.20. ... 05 in final models. On the basis of sex differences identified in bivariable analysis, we tested interactions between sex and ...
How to split a dataset in logistic regression model - Moredatascientists
20ft Shipping Container NYK Logistics v1 3D Model
... 20ft Shipping Container NYK Logistics v1 ... The models have materials applied in all formats, and are ready to import and render.. The model comes with two png image ... The models are built mostly out of quads.. It comes in separate parts, named correctly for the sake of convenience.. For any ... Also, if an Item contains an image of a person, even if the Item is model-released you cant use it in a way that creates a ...
Methods to apply a 3-Parameter logistic model to wind turbine data
... Villanueva Torres, Daniel. ; Sixto, Adrián; Feijoo Lorenzo ... In those cases where one year of data is available, a logistic function may be fitted and used as an accurate model for such ... However, when using the mean values, some information is missing and when using all the values the model obtained can be wrong ... Besides, a data filtering recommendation and two different assessment procedures for the error provided by the model are ...
Penerapan model gompertz dan logistic pada pertumbuhan berat badan balita - Brawijaya Knowledge Garden
Model pertumbuhan yang umumnya mengikuti bentuk sigmoid diantaranya model Gompertz dan Logistic yang memuat tiga parameter. ... Sedangkan model pertumbuhan Logistic dapat menjelaskan pola pertumbuhan balita laki-laki umur 13-36 bulan, 37-60 bulan dan ... Rachmadani, Aristya (2011) Penerapan model gompertz dan logistic pada pertumbuhan berat badan balita. Sarjana thesis, ... Tujuan penelitian adalah menerapkan dan membandingkan model pertumbuhan Gompertz dan Logistic dalam menjelaskan pola ...
Comparing the diagnostic performance of ordinary, mixed, and lasso logistic regression models at identifying opioid and...
We used ordinary and mixed logistic regression models as well as lasso logistic regression models with and without controlling ... they had the same predictive abilities as lasso logistic regression models. All models had relatively high predictive ... compare the predictive performance of these models to analogous lasso logistic regression models. Data were obtained from ... Although epidemiologically informed logistic regression models may require substantial knowledge of the disease systems being ...
Non-COVID Response Logistics Modeling Tools and Reports | Population Health Sciences
Non-COVID Response Logistics Modeling Tools and Reports *COVID Caseload Calculator C5V ... Bioterrorism and Epidemic Outbreak Response POD Models. *Bioterrorism and Epidemic Outbreak Response Model ... Rural Bioterrorism and Epidemic Outbreak Response Model. Ebola Treatment Unit Daily Census and Patient Tracking Tool Version ...
Analysis of an arithmetic test by means of a logistic linear trait model
... Rev. Latinoam. Psicol. [online]. 2008, vol.40, n.1, ... This paper presents an illustration of the integration of cognitive psychology and psychometric models to determine sources of ... and the goodness of fit of items to both the Rasch and the LLTM models was studied. Results obtained were used to illustrate ...
Frontiers | Race, Ethnic, and Sex Differences in Prevalence of and Trends in Hallucinogen Consumption Among Lifetime Users in...
Descriptive and multinomial logistic regression analyses were conducted in Stata. Results: Highest prevalence of past year ... Descriptive and multinomial logistic regression analyses were conducted in Stata.ResultsHighest prevalence of past year ... Predictors of Hallucinogen Use in Multinomial Logistic Regression Models. As Table 3 shows, those identifying as Black, Asian, ... The margins command evaluated annual change in models associated with year while controlling for age, past year alcohol use, ...
IoT Middleware Architecture based on Ontologies to Model Logistic Process
| Transactions on Engineering and Computing...
IoT Middleware Architecture based on Ontologies to Model Logistic Process Authors. * S. Aoulad Allouch National School of ... 13) X. K. Zhang et T. Tian, « Logistics domain ontology model and its application », in Advanced Materials Research, 2010, vol ... Allouch, S. A., Amechnoue, K., & Achatbi, I. (2017). IoT Middleware Architecture based on Ontologies to Model Logistic Process ... 11) P. Lian, D.-W. Park, et H.-C. Kwon, « Design of logistics ontology for semantic representing of situation in logistics », ...
Misspecification of multimodal random-effect distributions in logistic mixed models for panel survey data : Research Bank
Logistic mixed models for longitudinal binary data typically assume normally distributed random effects, which may be too ... 2019). Misspecification of multimodal random-effect distributions in logistic mixed models for panel survey data. Journal of ... Misspecification of multimodal random-effect distributions in logistic mixed models for panel survey data. Journal article ... acuresearchbank.acu.edu.au/item/86y1v/misspecification-of-multimodal-random-effect-distributions-in-logistic-mixed-models-for- ...
Type 2 diabetes prevalence, awareness, and risk factors in rural Mali: a cross-sectional study | Scientific Reports
Table 2 Factors associated with T2D using multivariable logistic regression models.. Full size table. ... Prevalence of Diabetes Mellitus and Its Associated Factors in Bangladesh: Application of Two-level Logistic Regression Model. ... Pairwise comparisons between categorical predictors were performed using logistic regression models with multiple comparisons. ... Multivariable logistic regression analyses were performed modeling T2D against these two predictors. These predictors were ...
60. model Renault Trucks T pro BC LOGISTICS s.r.o. | Motorsport-ing magazín
Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a general adult population cohort in Ontario...
Logistic regression models using age, sex, and the John Hopkins ADGs were able to accurately predict 1-year mortality in a ... Results: A logistic regression model consisting of age, sex, and indicator variables for 28 of the 32 ADG categories had ... Conclusions: Logistic regression models using age, sex, and the John Hopkins ADGs were able to accurately predict 1-year ... Furthermore, the model showed very good calibration. In comparison, the use of the Charlson comorbidity index or the Elixhauser ...
Prediction of survival from resuscitation: a prognostic index derived from multivariate logistic model analysis - Tufts PACE...
Fulfillment, cross-dock, dropshipping-what is the difference between the logistics models in eCommerce? | Omnipack
... wed like to analyze the most popular eCommerce models: Fulfillment, cross-dock, dropshipping, as well as our own warehouse and ... Cross-docking in logistics. This eCommerce logistics model is often confused with dropshipping. However, it is fundamentally ... A combined model. Some stores utilize a combined model, mixing the above models together. Their selection depends, of course, ... Choosing a logistics model in eCommerce is one of the first decisions we need to make when we start selling on the Internet. ...
On an Excel sheet, create a model of the Logistic Growth curve. Be sure that you have: ... - Coursework Assignment
On an Excel sheet, create a model of the Logistic Growth curve. Be sure that you have: … August 4, 2021. /in Uncategorized /by ... 1.On an Excel sheet, create a model of the Logistic Growth curve. Be sure that you have: A specific place for input parameters ... create a model of the Logistic Growth curve. Be sure that you have: .... ... 2.On a new sheet in Excel, using your population model, perform an analysis of the possible error in your r value. What does ...
To Determine the Prognostic Factors in Esophageal Cancer using Log-Logistic Regression Model in Iran - Iranian Journal of...
Keywords: Esophageal cancer, Survival analysis, weibull model, Log-logistic model, AIC criterion ... To Determine the Prognostic Factors in Esophageal Cancer using Log-Logistic Regression Model in Iran ... To Determine the Prognostic Factors in Esophageal Cancer using Log-Logistic Regression Model in Iran. irje 2011; 7 (2) :1-7. ... parametric and weibull models were employed to analyze the data. The Akaike information criterion (AIC) was also considered as ...
Conceptual Modelling in Simulation of Military Logistics Processes - Field Maintenance Modelling | Journal of Defence &...
Conceptual Modelling in Simulation of Military Logistics Processes - Field Maintenance Modelling. Publication Type:. Journal ... Conceptual model, Logistics, Maintenance, Military, Simulation Abstract:. Conceptual modelling is one of the most challenging ... "Conceptual Modelling in Simulation of Military Logistics Processes - Field Maintenance Modelling." Journal of Defence & ... APA style: Nikolic, N. (2020). Conceptual Modelling in Simulation of Military Logistics Processes - Field Maintenance Modelling ...
![en] A MODEL OF PERFORMANCE EVALUATION FOR FOURTH PARTY LOGISTICS MANAGEMENT IN THERMOPLASTIC RESIN INDUSTRY SEGMENT](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAMAAAAoLQ9TAAAAS1BMVEUUPFr///8AJFI2VG8UP14AMVUGOlwZP1wtTWcYP1zZ3OCfqbTx8vNVa4CIlaHGy9AtUEi/zwB7i5mhsx9meYp0ij6HmzCLni/D0wBNTlBbAAAACnRSTlO1////////qaiqkJxowQAAAHFJREFUGJV1j1sOgzAMBHHsdVs7kATK4/4nrVBE0yDVfzvSrsbDIN09blnkAqo9CJFG/Q8ASAj6rcCT52VZlS9gZLmUjclRQYopH2UXP2faBnjkCvRNs8Y4TWS1IuysRN7AqWk2I+BHHWget+defX5+AP0xBb8Y3/OzAAAAAElFTkSuQmCC)
en] A MODEL OF PERFORMANCE EVALUATION FOR FOURTH PARTY LOGISTICS MANAGEMENT IN THERMOPLASTIC RESIN INDUSTRY SEGMENT
... [pt] UM ... en] A MODEL OF PERFORMANCE EVALUATION FOR FOURTH PARTY LOGISTICS MANAGEMENT IN THERMOPLASTIC RESIN INDUSTRY SEGMENT. ... At the end, it is intended to present a model that better fits to measure Logistic Operators performance, in the thermoplastic ... The master thesis intends to search theoretical references for performance evaluation model applicable to Logistic Operators. ...
Noncommunicable disease, clinical course and COVID-19 prognosis: results based on I-core registry
Zusammenfassung: Schultmann, F./Zumkeller, M./Rentz, O. (2006): "Modeling reverse logistic tasks within closed-loop supply...
compare a 5-point discrete mixture on the log-logistic shape parameter with the variable scale model to downweight aberrant...
In Example 13.2 compare a 5-point discrete mixture on the log-logistic shape parameter with the variable scale model to ... compare a 5-point discrete mixture on the log-logistic shape parameter with the variable scale model to downweight aberrant ... compare a 5-point discrete mixture on the log-logistic shape parameter with the variable scale model to downweight aberrant ... compare a 5-point discrete mixture on the log-logistic shape parameter with the variable scale model to downweight aberrant ...
A fragmentation phenomenon for a non-energetic optimal control problem: optimisation of the total population size in logistic...
... optimisation of the total population size in logistic diffusive models I. Mazari, D. Ruiz-Balet. A fragmentation phenomenon for ... we investigate the problem of optimising the total population size for logistic diffusive models with respect to resources ... optimisation of the total population size in logistic diffusive models (2020) ...
Stratified logistic regressionRegression analysesDatasetAnalysesLongitudinalRegressionsBinaryDistributionsPrevalenceMultivariate modelRaschWeibullHeterogeneousResultsTheoreticalCurveScenarioEpidemiologicalSimulationParametersDataYangFactorsMeasurementEffectsImplementStatistical modelsProcessStrategicMainCalibrationAnalyzeDifficultySignificanceDetermineCorrectlyYearLinearSystemsEstimateEffectServiceEfficientComplexApplicationPopulationImportantConsistentFactorPaperComparePresentDevelopmentAnalysisVariablesSupply
Stratified logistic regression1
- Hypotheses were tested using gender stratified logistic regression models. (cdc.gov)
Regression analyses2
- Descriptive and multinomial logistic regression analyses were conducted in Stata. (frontiersin.org)
- Bivariate and multivariate logistic regression analyses with 95% confidence intervals were used to examine the association between anemia and food security. (who.int)
Dataset2
- The dataset is relatively small, and the authors use stepwise logistic regression models to detect small differences. (cdc.gov)
- We used ordinary and mixed logistic regression models as well as lasso logistic regression models with and without controlling for autocorrelation at the state level to train our models on half the dataset and test their predictive performance on the remainder. (bvsalud.org)
Analyses1
- Because stratified analyses suggested that the effect of BMI on arthritis differed by sex, the model was applied separately to men and women. (cdc.gov)
Longitudinal1
- Logistic mixed models for longitudinal binary data typically assume normally distributed random effects, which may be too restrictive if an underlying subpopulation structure exists. (edu.au)
Regressions1
- Models with robust variance estimators in Cox and Poisson regressions and variance corrected by the scale parameter in Poisson regression were also evaluated. (biomedcentral.com)
Binary4
- Cross-sectional studies with binary outcomes analyzed by logistic regression are frequent in the epidemiological literature. (biomedcentral.com)
- Cox or Poisson regression with robust variance and log-binomial regression provide correct estimates and are a better alternative for the analysis of cross-sectional studies with binary outcomes than logistic regression, since the prevalence ratio is more interpretable and easier to communicate to non-specialists than the odds ratio. (biomedcentral.com)
- Often the outcomes are binary, and logistic regression is used for the analysis. (biomedcentral.com)
- Does it always help to adjust for misclassification of a binary outcome in logistic regression? (cdc.gov)
Distributions1
- Following the recent works [9, 17, 30, 31, 37], we investigate the problem of optimising the total population size for logistic diffusive models with respect to resources distributions. (deusto.eus)
Prevalence2
- In this paper we explore alternatives for modeling data of such studies with techniques that directly estimate the prevalence ratio. (biomedcentral.com)
- We have, therefore, that an important proportion of such studies end up reporting odds ratios, the effect measure yielded by logistic regression, rather than prevalence or incidence ratios. (biomedcentral.com)
Multivariate model2
- To examine the relative importance of these factors, CDC used data from the 1989-1991 National Health Interview Survey (NHIS) and a multivariate model to estimate the independent effect of each factor on self-reported arthritis. (cdc.gov)
- nificance of individual coefficients in the en, bone mineral status is much more Daily routine calibration was done model was assessed by the Hosmer- closely associated with total body fat using the standard phantom supplied Lemeshow test for goodness of fit and [4] and in a multivariate model total fat by the manufacturer. (who.int)
Rasch2
- The OPLM combines mathematical properties of the Rasch model with the flexibility of the Two Parameter Logistic Model (2PL or IRT 2PL). (assess.com)
- In order to reach this aim, a group of operations required to solve the items of the test were proposed, the dimensionality was evaluated, and the goodness of fit of items to both the Rasch and the LLTM models was studied. (bvsalud.org)
Weibull3
- In the high risk area of Gonbad in Iran, world age-standardised rates are more than 200 per 100,000 and the male/female ratio is reported as 0.8:1.0.This study aimed to assess the risk factors and demographic factors influencing survival of patients with esophageal cancer in north of Iran using weibull and log-logistic regression models. (ac.ir)
- parametric and weibull models were employed to analyze the data. (ac.ir)
- Here we compare a Weibull with single-component and two-component log-logistic models. (gradeboosts.com)
Heterogeneous1
- Handling the huge quantities of heterogeneous IoT components and logistic items is an important challenge. (scholarpublishing.org)
Results3
- The research results show that the system coupling degree in Hainan Province is about 0.9, indicating that the logistics industry and the low-carbon economic subsystem have a relatively high degree of coupling development. (hindawi.com)
- Additionally, the correlation between the dependent variables can create significant multicollinearity, which violates the assumptions of standard regression models and results in inefficient estimators. (cdc.gov)
- The results of this study clearly show that the presence of bloody diarrhea is an endogenous variable in the model showing predictors of hemolytic uremic syndrome, in that the diarrhea is shown to be predicted by, and therefore strongly correlated with, several other variables used to predict hemolytic uremic syndrome. (cdc.gov)
Theoretical2
- The underlying problem in the study is the theoretical specifications for the model, in which genotypes, strains, and symptoms are mixed, despite reasonable expectations that differences in 1 level may predict differences in another. (cdc.gov)
- The master thesis intends to search theoretical references for performance evaluation model applicable to Logistic Operators. (ausjal.org)
Curve6
- The market for a new good grows according to a logistic curve if the number of buyers adopting it at a given time follows a normal distribution. (wolfram.com)
- The distribution of buyers is modeled by the Bell curve. (wolfram.com)
- In those cases where one year of data is available, a logistic function may be fitted and used as an accurate model for such curves, with the advantage that it describes the power curve by means of a very simple mathematical expression. (uvigo.es)
- A logistic regression model consisting of age, sex, and indicator variables for 28 of the 32 ADG categories had excellent discrimination: the c-statistic (equivalent to the area under the receiver operating characteristic curve) was 0.917 in both derivation and validation samples. (nih.gov)
- On an Excel sheet, create a model of the Logistic Growth curve. (courseworkassignment.com)
- https://courseworkassignment.com/wp-content/uploads/2021/07/LOGO-300x75.png 0 0 Dennis https://courseworkassignment.com/wp-content/uploads/2021/07/LOGO-300x75.png Dennis 2021-08-04 19:07:51 2021-08-04 19:07:51 On an Excel sheet, create a model of the Logistic Growth curve. (courseworkassignment.com)
Scenario1
- This architecture focuses mainly on a semantic model that uses ontologies for sensor data representation by describing the main entities involved in the logistic scenario. (scholarpublishing.org)
Epidemiological1
- Ordinary and mixed logistic regression models were also substantially more parsimonious than their lasso equivalents while still allowing for the epidemiological interpretation of model coefficients. (bvsalud.org)
Simulation3
- Conceptual modelling is one of the most challenging parts in simulation modelling where more knowledge fields meet each other. (jdst.eu)
- The main goal of the paper is to present the process of creating a conceptual model as an important step in simulation model development. (jdst.eu)
- The point of the paper is to emphasize the translation of the conceptual description of the real process given from the subject matter expert, towards a formalized conceptual model that is understandable to the simulation modeller and computer programmer. (jdst.eu)
Parameters3
- These mathematical models include item characteristics also known as the item parameters: discrimination ( a ), difficulty ( b ), and pseudo-guessing ( c ). (assess.com)
- Since the IRT One Parameter Logistic Model allows estimating item parameters that are "examinee-free", then it is possible to estimate item parameters during their piloting to use them later. (assess.com)
- All models had relatively high predictive parameters except for positive predictive values , due to the rare nature of calls concerning opioid and cannabinoid poisonings . (bvsalud.org)
Data4
- Besides, a data filtering recommendation and two different assessment procedures for the error provided by the model are proposed. (uvigo.es)
- Comparing the diagnostic performance of ordinary, mixed, and lasso logistic regression models at identifying opioid and cannabinoid poisoning in U.S. dogs using pet demographic and clinical data reported to an animal poison control center (2005-2014). (bvsalud.org)
- As a result, models derived from APCC data that examine the predictability of opioid and cannabinoid dog poisonings using pet demographic and health disorder information may help veterinarians or APCC staff more reliably identify these toxicants when examining or responding to a call concerning a dog poisoned by an unknown toxicant. (bvsalud.org)
- Demographic and clinical data of 359 patients with confirmed diagnosis of esophageal cancer from Babol Cancer registry utilized for our model. (ac.ir)
Yang2
- Model pertumbuhan yang umumnya mengikuti bentuk sigmoid diantaranya model Gompertz dan Logistic yang memuat tiga parameter. (ub.ac.id)
- Tujuan penelitian adalah menerapkan dan membandingkan model pertumbuhan Gompertz dan Logistic dalam menjelaskan pola pertumbuhan serta mengetahui kecepatan maksimum pertumbuhan berat badan balita yang dibagi dalam tiga kelompok umur. (ub.ac.id)
Factors6
- Model for determining virulence factors for hemolytic uremic syndrome. (cdc.gov)
- The fitting of epidemiologically informed statistical models has been useful for identifying factors associated with various health conditions and as predictive tools. (bvsalud.org)
- Ghadimi M, Mahmoodi M, Mohammad K, Zeraati H, Hosseini M, Fotouhi A. To Determine the Prognostic Factors in Esophageal Cancer using Log-Logistic Regression Model in Iran. (ac.ir)
- All scans were performed by regression model was done for detec- more body fat have lower rates of bone trained physicians and analysed by the tion of the independent risk factors resorption (an independent predictor researcher. (who.int)
- Les facteurs de risque Independent factors associated with admission indépendant associés hyperglycemia were assessed using logistic regression analysis. (who.int)
- More than half of critically des patients avec AVC en phase aiguë présentent ill patients exhibit admission hyperglycemia with age, severity of stroke and known diabetes as its main associated principaux facteurs de risque a risk factors. (who.int)
Measurement1
- This mutual independence forms the basis of the IRT models that provides objectivity in measurement. (assess.com)
Effects3
- However, bloody diarrhea is not the only endogenous variable in their models, and extensive modeling would be necessary to isolate the independent effects of the various predictor variables. (cdc.gov)
- Calculated by using a generalized linear mixed-effects logistic regression model. (cdc.gov)
- A logistic eficial effects on bone [2]. (who.int)
Implement2
- How to implement a scikit learn logistic regression model? (moredatascientists.com)
- Besides, many suppliers are still reluctant to operate on this model, and if they do decide to implement it, they are quite reluctant, e.g., to pack their products according to your guidelines. (omnipack.com)
Statistical models2
- An often overlooked problem in building statistical models is that of endogeneity, a term arising from econometric analysis, in which the value of one independent variable is dependent on the value of other predictor variables. (cdc.gov)
- 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. (bvsalud.org)
Process2
- As can be seen in the diagram above, in the case of having your own warehouse, the logistic process is quite complex, and what is more, coordinating it is the store owner's responsibility. (omnipack.com)
- The necessity of companies to focus on its key activities and also to increase its competitiveness, together with the desire of the logistic operators in supplying services of greater added value, has worked as a catalyst of the logistics outsourcing process. (ausjal.org)
Strategic2
- It is of great significance to learn from foreign experience [ 16 ], explore my country's logistics development in a low-carbon environment economy, strengthen international strategic low-carbon logistics planning, formulate specific low-carbon logistics policies and regulations, and standardize low-carbon logistics goals. (hindawi.com)
- Being logistic a factor of great impact in the competitiveness of the companies, the decision for contracting a Logistic Operator has, as main reason, the strategic decision of concentrating on its key activities, leaving the logistic services to specialists. (ausjal.org)
Main1
- The One Parameter Logistic Model (OPLM or 1PL or IRT 1PL) is one of the three main dichotomous models in the Item Response Theory (IRT) framework. (assess.com)
Calibration1
- Furthermore, the model showed very good calibration. (nih.gov)
Analyze1
- Today, we'd like to analyze the most popular eCommerce models: Fulfillment, cross-dock, dropshipping, as well as our own warehouse and suggest which one to choose. (omnipack.com)
Difficulty1
- This paper presents an illustration of the integration of cognitive psychology and psychometric models to determine sources of item difficulty in an Arithmetic Test (AT), constructed by the authors, by means of its analysis with the LLTM. (bvsalud.org)
Significance2
- Because the strain is in part determined by the presence of these toxins, including both strain and genotype in the model means that the standard errors for variables for the Shiga-containing strains and bloody diarrhea symptom are likely to be too high, and hence the significance levels (p values) obtained from the regression models are higher than the true probability because of a type I error. (cdc.gov)
- The authors note that they excluded variables from the final model if the significance in initial models for those variables was less than an α level (p value) of 0.05. (cdc.gov)
Determine1
- undertaken from July 15th, 2017 to March 15th, 2018.The multicentrique de cohorte prospective a inclus des Glasgow Coma Scale helped to determine the severety of the patients consécutifs admis en phase aiguë d AVC, disease at admission. (who.int)
Correctly2
- IRT employs mathematical models assuming that the probability that an examinee would answer the question correctly depends on their ability and item characteristics. (assess.com)
- Cox/Poisson regression with robust variance, and log-binomial regression performed equally well when the model was correctly specified. (biomedcentral.com)
Year1
- Logistic regression models using age, sex, and the John Hopkins ADGs were able to accurately predict 1-year mortality in a general ambulatory population of subjects. (nih.gov)
Linear1
- 29. Christensen R. Log-linear models and logistic regression. (bvsalud.org)
Systems2
- Although epidemiologically informed logistic regression models may require substantial knowledge of the disease systems being investigated, they had the same predictive abilities as lasso logistic regression models. (bvsalud.org)
- 12) J. Leukel et S. Kirn, « A supply chain management approach to logistics ontologies in information systems », in International Conference on Business Information Systems, 2008, p. 95-105. (scholarpublishing.org)
Estimate1
- It is well known that in logistic regression, where the outcome is measured with error, a biased estimate of the association between the outcome and a risk factor may result if no proper adjustment is made. (cdc.gov)
Effect2
- The development of modern logistics has a certain positive effect on the intensive use of resources. (hindawi.com)
- Controlling for autocorrelation had little effect on the predictive performance of all models, but it did reduce the number of variables included in lasso models. (bvsalud.org)
Service3
- 17) S. Hachem, « Service-Oriented middleware for the large-scale mobile Internet of Things », Université de Versailles-Saint Quentin en Yvelines, 2014. (scholarpublishing.org)
- The 4PL´s basic objective is to provide an efficient logistic integrated solution, managing all logistics activities and service providers that should be necessary. (ausjal.org)
- RÉSUMÉ Pour vérifier l'hypothèse selon laquelle les graisses localisées et non le poids corporel total ont un effet protecteur sur la densité minérale osseuse des femmes ménopausées, une étude transversale a été menée entre mars 2008 et juin 2009 sur 303 femmes ménopausées en bonne santé consultant le service de soins de l'ostéoporose à des fins de dépistage. (who.int)
Efficient1
- However, this model requires extremely efficient operations. (omnipack.com)
Complex2
- Unidimensionality assumption is the most common, but the most complex and restrictive assumption for all IRT models that sometimes cannot be met. (assess.com)
- From exemplary mass-vaccination stations in Angola, to complex cold-chain logistics in Rwanda and model communications to boost trust in vaccines in Ghana, the World Health Organization (WHO) is documenting key lessons emerging from Africa's rollout of COVID-19 vaccines. (who.int)
Application1
- 13) X. K. Zhang et T. Tian, « Logistics domain ontology model and its application », in Advanced Materials Research, 2010, vol. 108, p. 1403-1408. (scholarpublishing.org)
Population1
- 2.On a new sheet in Excel, using your population model, perform an analysis of the possible error in your 'r' value. (courseworkassignment.com)
Important3
- Logistics industry is more important in the development of regional economy, which affects the speed and efficiency of regional economy [ 2 ]. (hindawi.com)
- The logistics industry has been greatly developed after the emergence of e-commerce [ 10 ], and the logistics industry has become an important pillar industry for regional economic development. (hindawi.com)
- Nowadays, the logistics industry not only plays an important pillar role in the regional economy but also becomes a restrictive element of the speed and efficiency of the regional economy. (hindawi.com)
Consistent1
- nbsp;The starting point is a description of a real entity given by subject matter expert, and output is one consistent, algorithm-like, conceptual model. (jdst.eu)
Factor1
- Estos modelos son de aplicación común en epidemiología para estimar el riesgo de un individuo (probabilidad de desarrollo de una enfermedad) en función de un determinando factor de riesgo. (bvsalud.org)
Paper3
- Firstly, this paper discusses the development level of logistics industry in Hainan Province from five aspects: energy consumption, carbon emission, carbon productivity, economic benefit index, and carbon emission efficiency. (hindawi.com)
- On this basis, this paper puts forward the related promotion strategies for the coordinated development of logistics development and logistics industry in Hainan. (hindawi.com)
- We present in this paper a new Internet of Things middleware architecture for logistic transport applications. (scholarpublishing.org)
Compare1
- and 2) compare the predictive performance of these models to analogous lasso logistic regression models. (bvsalud.org)
Present1
- At the end, it is intended to present a model that better fits to measure Logistic Operators performance, in the thermoplastic resin industry segment. (ausjal.org)
Development3
- Finally, the coordinated development of logistics development and low-carbon environmental economy in Hainan Province is analyzed. (hindawi.com)
- The low-carbon environmental economic model [ 4 ] is a win-win model for the coordinated development of ecological environment and economic environment. (hindawi.com)
- Such development is characterized on the figure of the Fourth Party Logistics (4PL). (ausjal.org)
Analysis1
- Logistic regression was used for the analysis of 37 (34%) and 10 (22%) of these studies, respectively. (biomedcentral.com)
Variables2
- is defined as the multiple correlation coefficient for the model X 1 = f(X 2 ,X 3 ,…), and all X i are independent variables in the larger model ( 3 , 4 ). (cdc.gov)
- For example, the simultaneous equations approach, such as that outlined by Greene ( 7 ), would have used predicted values of bloody diarrhea from the first stage of the model as instrumental variables for the actual value in the model for hemolytic uremic syndrome. (cdc.gov)
Supply1
- Logistic applications are a perfect domain of IoT as it adds new functionalities in identification, traceability, storage and real-time tracking of good in the supply chain. (scholarpublishing.org)
