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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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| Main Authors: | , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2011
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| Fag: | |
| Online adgang: | 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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