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- W2908053812 abstract "Social epidemiology seeks to describe and quantify the causal effects of social institutions, interactions, and structures on human health. To accomplish this task, we define exposures as treatments and posit populations exposed or unexposed to these well-defined regimens. This inferential structure allows us to unambiguously estimate and interpret quantitative causal parameters and to investigate how these may be affected by biases such as confounding. This paradigm has been challenged recently by some critics who favor broadening the exposures that may be studied beyond treatments to also consider states. Defining the exposure protocol of an observational study is a continuum of specificity, and one may choose to loosen this definition, incurring the cost of causal parameters that become commensurately more vague. The advantages and disadvantages of broader versus narrower definitions of exposure are matters of continuing debate in social epidemiology as in other branches of epidemiology." @default.
- W2908053812 created "2019-01-11" @default.
- W2908053812 creator A5031709348 @default.
- W2908053812 date "2019-04-01" @default.
- W2908053812 modified "2023-10-13" @default.
- W2908053812 title "Commentary: Causal Inference for Social Exposures" @default.
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- W2908053812 doi "https://doi.org/10.1146/annurev-publhealth-040218-043735" @default.
- W2908053812 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30601720" @default.
- W2908053812 hasPublicationYear "2019" @default.
- W2908053812 type Work @default.