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Validation Data-Based Adjustments for Outcome Misclassification in Logistic Regression:An Illustration

Misclassification of binary outcome variables is a known source of potentially serious bias when estimating adjusted odds ratios. Although researchers have described frequentist and Bayesian methods for dealing with the problem, these methods have seldom fully bridged the gap between statistical res...

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Hlavní autoři: Lyles, Robert H., Tang, Li, Superak, Hillary M., King, Caroline C., Celentano, David D., Lo, Yungtai, Sobel, Jack D.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2011
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3454464/
https://ncbi.nlm.nih.gov/pubmed/21487295
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/EDE.0b013e3182117c85
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