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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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| Pubblicato in: | Am J Epidemiol |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2016
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| Soggetti: | |
| Accesso online: | 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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