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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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| Gepubliceerd in: | Am J Epidemiol |
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| Hoofdauteurs: | , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Oxford University Press
2019
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| Onderwerpen: | |
| Online toegang: | 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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