Causation and causal inference in epidemiology.

By Kenneth J. Rothman, Sander Greenland. American Journal of Public Health, 2005

1,154 citations recorded by the source corpus.

Subfields: History and Philosophy of Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a0fc4dcfc92f54594e4cb052a980ff3a91f3f73a

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Citations in the corpus

Causation entropy identifies indirect influences, dominance of neighbors and anticipatory couplings (2014, background): “Understanding causal relationship between events has important implications in a wide range of areas including as examples social perception [3], epidemiology [4], and econometrics [5].”
The Bradford Hill considerations on causality: a counterfactual perspective (2005, neutral): “Rothman and Greenland's conclusion [36] suggests that there are no causal criteria at all in epidemiology :”
Symptom-Disease Pair Analysis of Diagnostic Error (SPADE): a conceptual framework and methodological approach for unearthing misdiagnosis-related harms using big data (2018, methodology): “32–34 Key among these are: (1) the bidirectional relationship in an overlapping temporal profile, which establishes convergent construct validity of the association and a link to biological plausibility 34 ; and (2) the use of negative control comparisons which establishes discriminant construct…”
Overadjustment Bias and Unnecessary Adjustment in Epidemiologic Studies (2009, background): “” One also finds reference to the term overadjustment in settings with unnecessary control for variables.(7) In summary, overadjustment sometimes means control (eg, by regression adjustment, stratification, restriction) for a variable that (a) increases rather than decreases net bias or (b) affects ”
Applying the Bradford Hill criteria in the 21st century: how data integration has changed causal inference in molecular epidemiology (2015, background): “” According to the traditional interpretation of biological gradient, the presence of a dose–response relationship supports the causal association between an exposure and an effect [25, 35].”