ArticleAmerican journal of epidemiology2012
Invited commentary: the action in the interaction and exposure modification.
Article in American journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed, 1 citations in OpenAlex.
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Abstract
The study of disease variability in populations is a goal of modern epidemiology. Because most common diseases arise out of a combination of factors and events (exposures, heritability, comorbidities, and chance), developing simple models of characterizing joint events is a daunting task. Dr. Weinberg argues successfully in this issue of the Journal (Am J Epidemiol. 2012;175(7):602-605) that additive null models can capture pure forms of independent causal effects in studies of rare conditions. Moreover, the concept of exposure modification, which characterizes most gene-environment interactions reported to date, is introduced. More cross-talk between biologists and epidemiologists is needed to tackle key issues in chronic disease etiology, and the argument for the use of parsimonious joint models in epidemiology is convincing.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.