Accounting for Misclassified Outcomes in Binary Regression Models Using Multiple Imputation With Internal Validation Data

Outcome misclassification is widespread in epidemiology, but methods to account for it are rarely used. We describe the use of multiple imputation to reduce bias when validation data are available for a subgroup of study participants. This approach is illustrated using data from 308 participants in...

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Hlavní autoři: Edwards, Jessie K., Cole, Stephen R., Troester, Melissa A., Richardson, David B.
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2013
Témata:
Practice of Epidemiology
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3983405/
https://ncbi.nlm.nih.gov/pubmed/24627573
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kws340
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