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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Foilsithe in: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
Formáid: Artigo
Teanga:Inglês
Foilsithe: Oxford University Press 2019
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Rochtain Ar Líne: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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