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34 relations: Alberto Abadie, Bayesian network, Betz Halloran, Bradford Hill criteria, Bruce Sacerdote, Causal reasoning, Causality, Causality (book), Cause (medicine), Confounding, David A. Freedman, David Collier (political scientist), Deductive pragmatism, Elizabeth A. Stuart, Evaluation apprehension model, Graphical model, Guido Imbens, Gun politics in the United States, Instrumental variables estimation, Laura Schulz, Marginal structural model, Mark J. van der Laan, Molecular pathological epidemiology, Natural experiment, Path analysis (statistics), Pathogenesis, Pathology, Principal stratification, Random sample consensus, Ritam Chowdhury, Social determinants of health, Stephen L. Morgan, Vasant Honavar, Yu Xie.
Alberto Abadie
Alberto Abadie (born April 3, 1968) is a in the Department of Economics at MIT.
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Bayesian network
A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical model (a type of statistical model) that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG).
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Betz Halloran
Mary Elizabeth (Betz) Halloran is an American biostatistician who works as a professor of biostatistics, professor of epidemiology, and adjunct professor of applied mathematics at the University of Washington.
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Bradford Hill criteria
The Bradford Hill criteria, otherwise known as Hill's criteria for causation, are a group of 9 principles, established in 1965 by the English epidemiologist Sir Austin Bradford Hill.
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Bruce Sacerdote
Bruce Sacerdote is an American economist and the Richard S. Braddock 1963 Professor in Economics at Dartmouth College, where he "enjoy working with detailed data to enhance our understanding of why children and youth turn out the way they do.
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Causal reasoning
Causal reasoning is the process of identifying causality: the relationship between a cause and its effect.
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Causality
Causality (also referred to as causation, or cause and effect) is what connects one process (the cause) with another process or state (the effect), where the first is partly responsible for the second, and the second is partly dependent on the first.
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Causality (book)
Causality: Models, Reasoning and Inference (2000; updated 2009) is a book by Judea Pearl.
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Cause (medicine)
Cause, also known as etiology and aetiology, is the reason or origination of something.
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Confounding
In statistics, a confounder (also confounding variable, confounding factor or lurking variable) is a variable that influences both the dependent variable and independent variable causing a spurious association.
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David A. Freedman
David Amiel Freedman (5 March 1938 – 17 October 2008) was Professor of Statistics at the University of California, Berkeley.
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David Collier (political scientist)
David Collier (born February 17, 1942) is Chancellor's Professor Emeritus at the University of California, Berkeley.
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Deductive pragmatism
Deductive pragmatism is a research method aiming at helping researchers communicate qualitative assumptions about cause-effect relationships (causality), elucidate the ramifications of such assumptions and drive causal inferences from a combination of assumptions, experiments, observations and case studies.
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Elizabeth A. Stuart
Elizabeth A. Stuart is a professor of mental health, biostatistics, and health policy and management in the Johns Hopkins Bloomberg School of Public Health.
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Evaluation apprehension model
The evaluation apprehension theory was proposed by Nickolas B. Cottrell in 1972.
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Graphical model
A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables.
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Guido Imbens
Guido Wilhelmus Imbens (born September 3, 1963) is a Dutch American economist.
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Gun politics in the United States
Gun politics is an area of American politics defined by two opposing groups advocating for tighter gun control on the one hand and gun rights on the other.
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Instrumental variables estimation
In statistics, econometrics, epidemiology and related disciplines, the method of instrumental variables (IV) is used to estimate causal relationships when controlled experiments are not feasible or when a treatment is not successfully delivered to every unit in a randomized experiment.
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Laura Schulz
Laura E. Schulz is an associate professor of cognitive science in the Brain and Cognitive Sciences department at the Massachusetts Institute of Technology (MIT).
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Marginal structural model
Marginal structural models are a class of statistical models used for causal inference in epidemiology.
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Mark J. van der Laan
Mark Johannes van der Laan is the Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics and Statistics at the University of California, Berkeley.
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Molecular pathological epidemiology
Molecular pathological epidemiology (MPE, also molecular pathologic epidemiology) is a discipline combining epidemiology and pathology.
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Natural experiment
A natural experiment is an empirical study in which individuals (or clusters of individuals) exposed to the experimental and control conditions are determined by nature or by other factors outside the control of the investigators, but the process governing the exposures arguably resembles random assignment.
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Path analysis (statistics)
In statistics, path analysis is used to describe the directed dependencies among a set of variables.
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Pathogenesis
The pathogenesis of a disease is the biological mechanism (or mechanisms) that leads to the diseased state.
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Pathology
Pathology (from the Ancient Greek roots of pathos (πάθος), meaning "experience" or "suffering" and -logia (-λογία), "study of") is a significant field in modern medical diagnosis and medical research, concerned mainly with the causal study of disease, whether caused by pathogens or non-infectious physiological disorder.
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Principal stratification
Principal stratification is a statistical technique used in causal inference when adjusting results for post-treatment covariates.
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Random sample consensus
Random sample consensus (RANSAC) is an iterative method to estimate parameters of a mathematical model from a set of observed data that contains outliers, when outliers are to be accorded no influence on the values of the estimates.
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Ritam Chowdhury
Ritam Chowdhury is an Indian writer, physician, epidemiologist and biostatistician scientist of Bengali descent.
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Social determinants of health
The social determinants of health are linked to the economic and social conditions and their distribution among the population that influence individual and group differences in health status.
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Stephen L. Morgan
Stephen Lawrence Morgan (born 1971) is a Bloomberg Distinguished Professor of Sociology and Education at the Johns Hopkins University School of Arts and Sciences and Johns Hopkins School of Education.
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Vasant Honavar
Vasant G. Honavar is an Indian born American computer scientist, and artificial intelligence, machine learning, bioinformatics and health informatics researcher and educator.
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Yu Xie
Yu Xie (谢宇, born 1959) is an American sociologist Mara Hvistendahl,, Science, 31 May 2013 Beginning in the late 1980s and continuing to the present day, Xie has made major contributions to quantitative methodology, social stratification, demography, Chinese studies, sociology of science, and social science data collection.
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References
[1] https://en.wikipedia.org/wiki/Causal_inference
