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An Illustration of Inverse Probability Weighting to Estimate Policy-Relevant Causal Effects

Traditional epidemiologic approaches allow us to compare counterfactual outcomes under 2 exposure distributions, usually 100% exposed and 100% unexposed. However, to estimate the population health effect of a proposed intervention, one may wish to compare factual outcomes under the observed exposure...

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Опубликовано в: :Am J Epidemiol
Главные авторы: Edwards, Jessie K., Cole, Stephen R., Lesko, Catherine R., Mathews, W. Christopher, Moore, Richard D., Mugavero, Michael J., Westreich, Daniel
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2016
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4983650/
https://ncbi.nlm.nih.gov/pubmed/27469514
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwv339
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