Nonparametric Bounds for the Risk Function

Nonparametric bounds for the risk difference are straightforward to calculate and make no untestable assumptions about unmeasured confounding or selection bias due to missing data (e.g., dropout). These bounds are often wide and communicate uncertainty due to possible systemic errors. An illustrativ...

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Bibliografiske detaljer
Udgivet i:Am J Epidemiol
Main Authors: Cole, Stephen R, Hudgens, Michael G, Edwards, Jessie K, Brookhart, M Alan, Richardson, David B, Westreich, Daniel, Adimora, Adaora A
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2019
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Commentaries
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6438811/
https://ncbi.nlm.nih.gov/pubmed/30698633
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwz013
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