Causality
Adverse Drug Reaction Reporting Systems
Drug-Related Side Effects and Adverse Reactions
Pharmacovigilance
Nerve Net
Mendelian Randomization Analysis
Drug-Induced Liver Injury
Information Theory
Models, Neurological
Brain Mapping
Computer Simulation
Epidemiology
Expert Testimony
Neural Networks (Computer)
Algorithms
Magnetic Resonance Imaging
Risk Factors
Brain
Nonlinear Dynamics
Data Interpretation, Statistical
Signal Processing, Computer-Assisted
Perception
Linear Models
Electroencephalography
Magnetoencephalography
Models, Statistical
Confounding Factors (Epidemiology)
Evoked Potentials
Cross-Sectional Studies
Statistics as Topic
Gene Regulatory Networks
Prospective Studies
Longitudinal Studies
Psychomotor Performance
Image Processing, Computer-Assisted
Perceptual Disorders
Likelihood Functions
Cohort Studies
Epidemiologic Studies
Case-Control Studies
Macaca
Photic Stimulation
Odds Ratio
Incidence
Genetic Predisposition to Disease
Risk Assessment
Regression Analysis
Data Mining
Image Interpretation, Computer-Assisted
Prevalence
Age Factors
Models, Theoretical
Epidemiologic Methods
Databases, Factual
Environmental Exposure
Visual Perception
Pregnancy
Questionnaires
Severity of Illness Index
Phenotype
Reproducibility of Results
Prefrontal Cortex
Bayes Theorem
Multivariate Analysis
Neoplasms
Sex Factors
Air Pollution
Cerebral Cortex
Functional Laterality
Models, Biological
Logistic Models
Polymorphism, Single Nucleotide
Depression
Genotype
Models, Genetic
Epilepsy
Retrospective Studies
Gene Expression Profiling
Alcohol Drinking
Residence Characteristics
Osteopenia in the patient with cancer. (1/1739)
Osteopenia is defined as a reduction in bone mass. It is commonly known to occur in elderly people or women who are postmenopausal due to hormonal imbalances. This condition, however, can result because of many other factors, such as poor nutrition, prolonged pharmacological intervention, disease, and decreased mobility. Because patients with cancer experience many of these factors, they are often predisposed to osteopenia. Currently, patients with cancer are living longer and leading more fulfilling lives after treatment. Therefore, it is imperative that therapists who are responsible for these patients understand the risk factors for osteopenia and their relevance to a patient with cancer. (+info)Onchocerciasis and epilepsy: a matched case-control study in the Central African Republic. (2/1739)
The occurrence of epileptic seizures during onchocercal infestation has been suspected. Epidemiologic studies are necessary to confirm the relation between onchocerciasis and epilepsy. A matched case-control study was conducted in dispensaries of three northwestern towns of the Central African Republic. Each epileptic case was matched against two nonepileptic controls on the six criteria of sex, age (+/-5 years), residence, treatment with ivermectin, date of last ivermectin dose, and the number of ivermectin doses. Onchocerciasis was defined as at least one microfilaria observed in iliac crest skin snip biopsy. A total of 561 subjects (187 cases and 374 controls) were included in the study. Of the epileptics, 39.6% had onchocerciasis, as did 35.8% of the controls. The mean dermal microfilarial load was 26 microfilariae per mg of skin (standard deviation, 42) in the epileptics and 24 microfilariae per mg of skin (standard deviation, 48) in the controls. This matched case-control study found some relation (odds ratio = 1.21, 95% confidence interval 0.81-1.80), although it was nonstatistically significant. (+info)Evaluation of the quality of an injury surveillance system. (3/1739)
The sensitivity, positive predictive value, and representativeness of the Canadian Hospitals Injury Reporting and Prevention Program (CHIRPP) were assessed. Sensitivity was estimated at four centers in June through August 1992, by matching independently identified injuries with those in the CHIRPP database. The positive predictive value was determined by reviewing all "injuries" in the database (at Montreal Children's Hospital) that could not be matched. Representativeness was assessed by comparing missed with captured injuries (at Montreal Children's Hospital) on demographic, social, and clinical factors. Sensitivity ranged from 30% to 91%, and the positive predictive value was 99.9% (i.e., the frequency of false-positive capture was negligible). The representativeness study compared 277 missed injuries with 2,746 captured injuries. The groups were similar on age, sex, socioeconomic status, delay before presentation, month, and day of presentation. Injuries resulting in admissions, poisonings, and those presenting overnight were, however, more likely to be missed. The adjusted odds ratio of being missed by CHIRPP for admitted injuries (compared with those treated and released) was 13.07 (95% confidence interval 7.82-21.82); for poisonings (compared with all other injuries), it was 9.91 (95% confidence interval 5.39-18.20); and for injuries presenting overnight (compared with those presenting during the day or evening), it was 4.11 (95% confidence interval 3.11-5.44). These injuries were probably missed because of inadequate education of participants in the system. The authors conclude that CHIRPP data are of relatively high quality and may be used, with caution, for research and public health policy. (+info)Power and sample size calculations in case-control studies of gene-environment interactions: comments on different approaches. (4/1739)
Power and sample size considerations are critical for the design of epidemiologic studies of gene-environment interactions. Hwang et al. (Am J Epidemiol 1994;140:1029-37) and Foppa and Spiegelman (Am J Epidemiol 1997;146:596-604) have presented power and sample size calculations for case-control studies of gene-environment interactions. Comparisons of calculations using these approaches and an approach for general multivariate regression models for the odds ratio previously published by Lubin and Gail (Am J Epidemiol 1990; 131:552-66) have revealed substantial differences under some scenarios. These differences are the result of a highly restrictive characterization of the null hypothesis in Hwang et al. and Foppa and Spiegelman, which results in an underestimation of sample size and overestimation of power for the test of a gene-environment interaction. A computer program to perform sample size and power calculations to detect additive or multiplicative models of gene-environment interactions using the Lubin and Gail approach will be available free of charge in the near future from the National Cancer Institute. (+info)An IgG1 titre to the F1 and V antigens correlates with protection against plague in the mouse model. (5/1739)
The objective of this study was to identify an immunological correlate of protection for a two-component subunit vaccine for plague, using a mouse model. The components of the vaccine are the F1 and V antigens of the plague-causing organism, Yersinia pestis, which are coadsorbed to alhydrogel and administered intramuscularly. The optimum molar ratio of the subunits was determined by keeping the dose-level of either subunit constant whilst varying the other and observing the effect on specific antibody titre. A two-fold molar excess of F1 to V, achieved by immunizing with 10 micrograms of each antigen, resulted in optimum antibody titres. The dose of vaccine required to protect against an upper and lower subcutaneous challenge with Y. pestis was determined by administering doses in the range 10 micrograms F1 + 10 micrograms V to 0.01 microgram F1 + 0.01 microgram V in a two-dose regimen. For animals immunized at the 1-microgram dose level or higher with F1 + V, an increase in specific IgG1 titre was observed over the 8 months post-boost and they were fully protected against a subcutaneous challenge with 10(5) colony-forming units (CFU) virulent Y. pestis at this time point. However, immunization with 5 micrograms or more of each subunit was required to achieve protection against challenge with 10(7) CFU Y. pestis. A new finding of this study is that the combined titre of the IgG1 subclass, developed to F1 plus V, correlated significantly (P < 0.05) with protection. The titres of IgG1 in vaccinated mice which correlated with 90%, 50% and 10% protection have been determined and provide a useful model to predict vaccine efficacy in man. (+info)Is perforation of the appendix a risk factor for tubal infertility and ectopic pregnancy? An appraisal of the evidence. (6/1739)
OBJECTIVE: To critically assess the evidence that appendiceal perforation is a risk factor for subsequent tubal infertility or ectopic pregnancy. DATA SOURCES: Epidemiologic studies investigating the relationship between appendectomy and infertility or ectopic pregnancy were identified by searching the MEDLINE database from 1966 to 1997. Appropriate citations were also extracted from a manual search of the bibliographies of selected papers. STUDY SELECTION: Twenty-three articles were retrieved. Only 4 presented original data including comparisons to a nonexposed control group and they form the basis for this study. DATA EXTRACTION: Because the raw data or specific techniques of data analysis were not always explicitly described, indices of risk for exposure were extracted from the data as presented and were analysed without attempting to convert them to a common measure. DATA SYNTHESIS: Articles were assessed according to the criteria of the Evidence-Based Medicine Working Group for evaluating articles on harm. Review of the literature yielded estimates of the risk of adverse fertility outcomes ranging from 1.6 (95% confidence interval [CI] 1.1 to 2.5) for ectopic pregnancy after an appendectomy to 4.8 (95% CI 1.5 to 14.9) for tubal infertility from perforation of the appendix. Recall bias, and poor adjustment for confounding variables in some reports, weakened the validity of the studies. CONCLUSIONS: The methodologic weaknesses of the studies do not permit acceptance of increased risk of tubal pregnancy or infertility as a consequence of perforation of the appendix, so a causal relationship cannot be supported by the data currently available. Only a well-designed case-control study with unbiased ascertainment of exposure and adjustment for confounding variables will provide a definitive answer. (+info)Assessing public health capacity to support community-based heart health promotion: the Canadian Heart Health Initiative, Ontario Project (CHHIOP). (7/1739)
This paper presents initial findings of the Canadian Heart Health Initiative, Ontario Project (CHHIOP). CHHIOP has two primary objectives. The programmatic objective is to coordinate and refine a system for supporting effective, sustained community-based heart health activities. This paper addresses the scientific objective: to develop knowledge of factors that influence the development of predisposition and capacity to undertake community-based heart health activities in public health departments. A systems theory framework for an ecological approach to health promotion informs the conceptualization of the key constructs, measured using a two-stage longitudinal design which combines quantitative and qualitative methods. This paper reports the results of the first round of quantitative survey data collected from all health departments in Ontario (N = 42) and individuals within each health department involved in heart health promotion (n = 262). Results indicate low levels of implementation of heart health activities, both overall and for particular risk factors and settings. Levels of capacity are also generally low, yet predisposition to undertake heart health promotion activities is reportedly high. Analyses show that implementation is positively related to capacity but not predisposition, while predisposition and capacity are positively related. Overall, results suggest predisposition is a necessary but not sufficient condition for implementation to occur; capacity-related factors appear to be the primary constraint. These findings are used to inform strategies to address CHHIOP's programmatic objective. (+info)Immunologic parameters as predictive factors of cytomegalovirus disease in renal allograft recipients. (8/1739)
Cytomegalovirus (CMV) disease is a major problem in renal transplant recipients, but few predictive markers of the disease are known. Several immunologic parameters of potential relevance for the defense against CMV were measured after renal transplantation in 25 patients before any manifestations of CMV infection occurred. In 10 patients who later developed CMV disease, plasma levels of interleukin-8 were significantly higher, whereas the levels of macrophage inflammatory protein-1alpha (MIP-1alpha) were significantly lower than in 15 patients who did not develop CMV disease. Also, lower numbers of CD4+ and CD8+ lymphocytes were observed in patients who later had CMV disease. These findings were independent of previous rejection therapy and were particularly pronounced in patients with primary CMV infection. Interleukin-8 and MIP-1alpha may be predictive markers of CMV disease and could be of potential use in selecting patients for prophylactic treatment. (+info)There are several types of drug-related side effects and adverse reactions, including:
1. Common side effects: These are side effects that are commonly experienced by patients taking a particular medication. Examples include nausea, dizziness, and fatigue.
2. Serious side effects: These are side effects that can be severe or life-threatening. Examples include allergic reactions, liver damage, and bone marrow suppression.
3. Adverse events: These are any unwanted or harmful effects that occur during the use of a medication, including side effects and other clinical events such as infections or injuries.
4. Drug interactions: These are interactions between two or more drugs that can cause harmful side effects or reduce the effectiveness of one or both drugs.
5. Side effects caused by drug abuse: These are side effects that occur when a medication is taken in larger-than-recommended doses or in a manner other than as directed. Examples include hallucinations, seizures, and overdose.
It's important to note that not all side effects and adverse reactions are caused by the drug itself. Some may be due to other factors, such as underlying medical conditions, other medications being taken, or environmental factors.
To identify and manage drug-related side effects and adverse reactions, healthcare providers will typically ask patients about any symptoms they are experiencing, perform physical exams, and review the patient's medical history and medication list. In some cases, additional tests may be ordered to help diagnose and manage the problem.
Overall, it's important for patients taking medications to be aware of the potential for side effects and adverse reactions, and to report any symptoms or concerns to their healthcare provider promptly. This can help ensure that any issues are identified and addressed early, minimizing the risk of harm and ensuring that the patient receives the best possible care.
The definition of DILI has been revised several times over the years, but the most recent definition was published in 2013 by the International Consortium for DILI Research (ICDCR). According to this definition, DILI is defined as:
"A clinically significant alteration in liver function that is caused by a medication or other exogenous substance, and is not related to underlying liver disease. The alteration may be biochemical, morphological, or both, and may be acute or chronic."
The ICDCR definition includes several key features of DILI, including:
1. Clinically significant alteration in liver function: This means that the liver damage must be severe enough to cause symptoms or signs of liver dysfunction, such as jaundice, nausea, vomiting, or abdominal pain.
2. Caused by a medication or other exogenous substance: DILI is triggered by exposure to certain drugs or substances that are not related to underlying liver disease.
3. Not related to underlying liver disease: This means that the liver damage must not be caused by an underlying condition such as hepatitis B or C, alcoholic liver disease, or other genetic or metabolic disorders.
4. May be acute or chronic: DILI can occur as a sudden and severe injury (acute DILI) or as a slower and more insidious process (chronic DILI).
The ICDCR definition provides a standardized way of defining and diagnosing DILI, which is important for clinicians and researchers to better understand the cause of liver damage in patients who are taking medications. It also helps to identify the drugs or substances that are most likely to cause liver injury and to develop strategies for preventing or treating DILI.
Some common types of perceptual disorders include:
1. Visual perceptual disorders: These disorders affect an individual's ability to interpret and make sense of visual information from the environment. They can result in difficulties with recognizing objects, perceiving depth and distance, and tracking movement.
2. Auditory perceptual disorders: These disorders affect an individual's ability to interpret and make sense of sound. They can result in difficulties with hearing and understanding speech, as well as distinguishing between different sounds.
3. Tactile perceptual disorders: These disorders affect an individual's ability to interpret and make sense of touch. They can result in difficulties with recognizing objects through touch, as well as interpreting tactile sensations such as pain, temperature, and texture.
4. Olfactory perceptual disorders: These disorders affect an individual's ability to interpret and make sense of smells. They can result in difficulties with identifying different odors and distinguishing between them.
5. Gustatory perceptual disorders: These disorders affect an individual's ability to interpret and make sense of tastes. They can result in difficulties with identifying different flavors and distinguishing between them.
6. Balance and equilibrium disorders: These disorders affect an individual's ability to maintain balance and equilibrium. They can result in difficulties with standing, walking, and maintaining posture.
Perceptual disorders can have a significant impact on an individual's daily life, making it difficult to perform everyday tasks and activities. Treatment for perceptual disorders often involves a combination of sensory therapy, behavioral therapy, and assistive technologies. The goal of treatment is to help the individual compensate for any impairments in sensory processing and improve their ability to function in daily life.
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."
Neoplasm refers to an abnormal growth of cells that can be benign (non-cancerous) or malignant (cancerous). Neoplasms can occur in any part of the body and can affect various organs and tissues. The term "neoplasm" is often used interchangeably with "tumor," but while all tumors are neoplasms, not all neoplasms are tumors.
Types of Neoplasms
There are many different types of neoplasms, including:
1. Carcinomas: These are malignant tumors that arise in the epithelial cells lining organs and glands. Examples include breast cancer, lung cancer, and colon cancer.
2. Sarcomas: These are malignant tumors that arise in connective tissue, such as bone, cartilage, and fat. Examples include osteosarcoma (bone cancer) and soft tissue sarcoma.
3. Lymphomas: These are cancers of the immune system, specifically affecting the lymph nodes and other lymphoid tissues. Examples include Hodgkin lymphoma and non-Hodgkin lymphoma.
4. Leukemias: These are cancers of the blood and bone marrow that affect the white blood cells. Examples include acute myeloid leukemia (AML) and chronic lymphocytic leukemia (CLL).
5. Melanomas: These are malignant tumors that arise in the pigment-producing cells called melanocytes. Examples include skin melanoma and eye melanoma.
Causes and Risk Factors of Neoplasms
The exact causes of neoplasms are not fully understood, but there are several known risk factors that can increase the likelihood of developing a neoplasm. These include:
1. Genetic predisposition: Some people may be born with genetic mutations that increase their risk of developing certain types of neoplasms.
2. Environmental factors: Exposure to certain environmental toxins, such as radiation and certain chemicals, can increase the risk of developing a neoplasm.
3. Infection: Some neoplasms are caused by viruses or bacteria. For example, human papillomavirus (HPV) is a common cause of cervical cancer.
4. Lifestyle factors: Factors such as smoking, excessive alcohol consumption, and a poor diet can increase the risk of developing certain types of neoplasms.
5. Family history: A person's risk of developing a neoplasm may be higher if they have a family history of the condition.
Signs and Symptoms of Neoplasms
The signs and symptoms of neoplasms can vary depending on the type of cancer and where it is located in the body. Some common signs and symptoms include:
1. Unusual lumps or swelling
2. Pain
3. Fatigue
4. Weight loss
5. Change in bowel or bladder habits
6. Unexplained bleeding
7. Coughing up blood
8. Hoarseness or a persistent cough
9. Changes in appetite or digestion
10. Skin changes, such as a new mole or a change in the size or color of an existing mole.
Diagnosis and Treatment of Neoplasms
The diagnosis of a neoplasm usually involves a combination of physical examination, imaging tests (such as X-rays, CT scans, or MRI scans), and biopsy. A biopsy involves removing a small sample of tissue from the suspected tumor and examining it under a microscope for cancer cells.
The treatment of neoplasms depends on the type, size, location, and stage of the cancer, as well as the patient's overall health. Some common treatments include:
1. Surgery: Removing the tumor and surrounding tissue can be an effective way to treat many types of cancer.
2. Chemotherapy: Using drugs to kill cancer cells can be effective for some types of cancer, especially if the cancer has spread to other parts of the body.
3. Radiation therapy: Using high-energy radiation to kill cancer cells can be effective for some types of cancer, especially if the cancer is located in a specific area of the body.
4. Immunotherapy: Boosting the body's immune system to fight cancer can be an effective treatment for some types of cancer.
5. Targeted therapy: Using drugs or other substances to target specific molecules on cancer cells can be an effective treatment for some types of cancer.
Prevention of Neoplasms
While it is not always possible to prevent neoplasms, there are several steps that can reduce the risk of developing cancer. These include:
1. Avoiding exposure to known carcinogens (such as tobacco smoke and radiation)
2. Maintaining a healthy diet and lifestyle
3. Getting regular exercise
4. Not smoking or using tobacco products
5. Limiting alcohol consumption
6. Getting vaccinated against certain viruses that are associated with cancer (such as human papillomavirus, or HPV)
7. Participating in screening programs for early detection of cancer (such as mammograms for breast cancer and colonoscopies for colon cancer)
8. Avoiding excessive exposure to sunlight and using protective measures such as sunscreen and hats to prevent skin cancer.
It's important to note that not all cancers can be prevented, and some may be caused by factors that are not yet understood or cannot be controlled. However, by taking these steps, individuals can reduce their risk of developing cancer and improve their overall health and well-being.
There are many different types of epilepsy, each with its own unique set of symptoms and characteristics. Some common forms of epilepsy include:
1. Generalized Epilepsy: This type of epilepsy affects both sides of the brain and can cause a range of seizure types, including absence seizures, tonic-clonic seizures, and atypical absence seizures.
2. Focal Epilepsy: This type of epilepsy affects only one part of the brain and can cause seizures that are localized to that area. There are several subtypes of focal epilepsy, including partial seizures with complex symptoms and simple partial seizures.
3. Tonic-Clonic Epilepsy: This type of epilepsy is also known as grand mal seizures and can cause a loss of consciousness, convulsions, and muscle stiffness.
4. Lennox-Gastaut Syndrome: This is a rare and severe form of epilepsy that typically develops in early childhood and can cause multiple types of seizures, including tonic, atonic, and myoclonic seizures.
5. Dravet Syndrome: This is a rare genetic form of epilepsy that typically develops in infancy and can cause severe, frequent seizures.
6. Rubinstein-Taybi Syndrome: This is a rare genetic disorder that can cause intellectual disability, developmental delays, and various types of seizures.
7. Other forms of epilepsy include Absence Epilepsy, Myoclonic Epilepsy, and Atonic Epilepsy.
The symptoms of epilepsy can vary widely depending on the type of seizure disorder and the individual affected. Some common symptoms of epilepsy include:
1. Seizures: This is the most obvious symptom of epilepsy and can range from mild to severe.
2. Loss of consciousness: Some people with epilepsy may experience a loss of consciousness during a seizure, while others may remain aware of their surroundings.
3. Confusion and disorientation: After a seizure, some people with epilepsy may feel confused and disoriented.
4. Memory loss: Seizures can cause short-term or long-term memory loss.
5. Fatigue: Epilepsy can cause extreme fatigue, both during and after a seizure.
6. Emotional changes: Some people with epilepsy may experience emotional changes, such as anxiety, depression, or mood swings.
7. Cognitive changes: Epilepsy can affect cognitive function, including attention, memory, and learning.
8. Sleep disturbances: Some people with epilepsy may experience sleep disturbances, such as insomnia or sleepiness.
9. Physical symptoms: Depending on the type of seizure, people with epilepsy may experience physical symptoms such as muscle weakness, numbness or tingling, and sensory changes.
10. Social isolation: Epilepsy can cause social isolation due to fear of having a seizure in public or stigma associated with the condition.
It's important to note that not everyone with epilepsy will experience all of these symptoms, and some people may have different symptoms depending on the type of seizure they experience. Additionally, some people with epilepsy may experience additional symptoms not listed here.
Causality
Information causality
Causality conditions
Causality (physics)
Causality (disambiguation)
Causality (book)
Granger causality
Causality (video game)
Bogoliubov causality condition
God, Time and Causality
Humean definition of causality
Causal model
Causal graph
Counterfactual conditional
Causal Markov condition
Exploratory causal analysis
A. D. Roy
Causal analysis
Transfer entropy
Incompatibilism
Giacomo Mauro D'Ariano
Agent causation
Basic research
Free will
Max Weber
Complicity
Kenneth Clatterbaugh
Faster-than-light
Causal inference
Causation in Sciences Project
CAUSALITY
Browsing Information products by Subject "Causality"
Levels of Causality - Psybertron Asks
Male infertility research explores causality
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MPE Virtual Summer School on 'Attribution, causality, and decision-making'
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Clean water: One of the first causalities of partisan attacks to roll back regulations | IATP
12 Injection-Related Adverse Events | Adverse Effects of Vaccines: Evidence and Causality |The National Academies Press
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Collapse Of Causality - The Arcana Wiki
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The Positive Consequences Of Imposter Syndrome
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification - ACL Anthology
WorkLife Archives - Causality Link
src/causality.ml - LustreC
Letter] Misunderstandings regarding the application of Granger causality in neuroscience : Sussex Research Online
Causality Archives - Robertson Lowstuter, Inc.
Causality Pirate Ship - Adventure Games
Measles and Mumps Vaccines - Adverse Events Associated with Childhood Vaccines - NCBI Bookshelf
Causality: Five Metaphysical Distinctions - Purely Presbyterian
PubPeer - Statistics, Causality and Bell's Theorem
The Geometry of Causality | Space Time
The Poetics of Causality : Sad Poetry
Meaning of Causality in English - Sportingology
Assessment of AE causality in source data
25) Models And Causality - Prof. Harald Walach
Learning and causality - pyAgrum 1.7.0 documentation
Atribution of causality to divorce
20171
- Questions on causality in the biological and medical sciences, and published in French in a book entitled: Causality in the biological and medical sciences (EDP Sciences, 2017). (nih.gov)
Granger3
- Effect of measurement noise on Granger causality. (nih.gov)
- The direction of causality between the variables is investigated by the vector error correction model (VECM) Granger causality test and robustness of causality analysis is tested by applying innovative accounting approach (IAA). (uni-muenchen.de)
- We provide two programs, 3dGC.R and 1dGC.R, for Granger causality analysis via multivariate (or vector) auto-regressive modeling. (nih.gov)
20211
- By what name was A Matter of Causality (2021) officially released in Canada in English? (imdb.com)
Cointegration1
- Structural change in exports and economic growth: cointegration and causality analysis for Spain (1961-2000). (uni-muenchen.de)
Attribution3
- A virtual summer school on 'Attribution, causality, and decision-making' in climate variability and change will run from 6-10 June 2022 . (wcrp-climate.org)
- Thus, the objective of the present study was: 1) construction and validation of a Scale of Attribution of Causality to the Divorce (ACD) and 2) analysis of some hypotheses in relation to the causal attribution of divorce. (bvsalud.org)
- Data showed also that the variables sex and civil state are relevant to the internal attribution of causality to the divorce, whereas the attribution to external factors is affected more by age and social economic level. (bvsalud.org)
Consequence1
- In his book Hyperspace , Michio Kaku devotes just over a page to discussion of the notion of the Collapse of Causality , a Disaster that is a likely consequence of the spread and proliferation of time travel technology . (wikidot.com)
Approach1
- To solve the data lacking problem, we introduce a new approach to augment training data for event causality identification, by iteratively generating new examples and classifying event causality in a dual learning framework. (aclanthology.org)
Methods1
- The field of empirical economics has developed rigorous methods to establish causality even when randomized controlled trials are not available. (nature.com)
Results2
- Although most share common characteristics, the results of the causality assessment are variable depending on the algorithm used. (bvsalud.org)
- Results of search for 'su:{Causality. (who.int)
Analysis2
- The causality analysis reveals feedback hypothesis that exists between financial development and economic growth, financial development and exports, and, exports and economic growth. (uni-muenchen.de)
- Foreign direct investment, exports and output growth of Turkey: causality analysis. (uni-muenchen.de)
Similar1
- There have been attempts to understand the underlying mechanisms describing the causality of similar symptoms following SARS-CoV-2 infection. (nih.gov)
Brain1
- SARS-CoV-2 and the Brain: What Do We Know about the Causality of 'Cognitive COVID? (nih.gov)
Model1
- In block designs with blocks of relatively long duration, you could extract the time points of those blocks, which might be tricky, and then feed them into the causality model. (nih.gov)
Subject1
- The subject of causality needed more depth. (imdb.com)
Medicine1
- Causality in medicine. (nih.gov)
Event1
- Modern models for event causality identification (ECI) are mainly based on supervised learning, which are prone to the data lacking problem. (aclanthology.org)
Data1
- Although the ADR causality assessment algorithms were poorly reproducible, our data suggest that WHO -UMC algorithm is the most consistent for imputation in hospitals , since it allows evaluating the quality of the report . (bvsalud.org)
Paper1
- This paper examines long‐run dependence and causality between oil and precious metal (gold, silver, platinum, palladium, steel, and titanium) prices across quantiles by exploiting their time series properties with the help of novel econometric techniques. (aston.ac.uk)
Gold1
- Randomized controlled trials are the gold standard to establish causality, but they are not always practical. (nature.com)
State2
- This review, therefore, is attempting to highlight the current understanding of the various direct and indirect mechanisms, focusing on the role of neurotropism of SARS-CoV-2, the general pro-inflammatory state, and the pandemic-associated psychosocial stressors in the causality of 'Cognitive COVID. (nih.gov)
- Using ten causality algorithms , four judges independently assessed the first 44 cases of ADRs reported during the first year of implementation of a risk management service in a medium complexity hospital in the state of Sao Paulo ( Brazil ). (bvsalud.org)
Include1
- However, to improve the ability of assessing the causality using algorithms , it is necessary to include criteria for the evaluation of drug -related problems, which may be related to confounding variables that underestimate the causal association . (bvsalud.org)
Categories1
- Owing to variations in the terminology used for causality , the equivalent imputation terms were grouped into four categories definite, probable, possible and unlikely. (bvsalud.org)
Subjects1
- This latter finding, they note, is somewhat at odds with prior findings in NHANES (National Health and Nutrition Examination Survey), [ 3 ] where associations of low SBP with mortality were most evident in frailer subjects, a finding somewhat supportive of reverse causality. (medscape.com)
Adverse2
- The Ministry of Health of Oman, in close collaboration with WHO, hosted a WHO regional training workshop on revised WHO methodology for causality assessment of adverse events following immunization in Muscat, Oman, on 23-26 June 2014. (who.int)
- More than 20 participants from various countries throughout the Eastern Mediterranean Region were in Oman to build their skills in the detection and investigation of adverse events using the new WHO methodology for assessing the causality of adverse events following immunization. (who.int)
Search1
- Results of search for 'su:{Causality. (who.int)
Factors1
- Data showed also that the variables sex and civil state are relevant to the internal attribution of causality to the divorce, whereas the attribution to external factors is affected more by age and social economic level. (bvsalud.org)