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Sensitivity analysis for misclassification in logistic regression via likelihood methods and predictive value weighting

The potential for bias due to misclassification error in regression analysis is well understood by statisticians and epidemiologists. Assuming little or no available data for estimating misclassification probabilities, investigators sometimes seek to gauge the sensitivity of an estimated effect to v...

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書誌詳細
主要な著者: Lyles, Robert H., Lin, Ji
フォーマット: Artigo
言語:Inglês
出版事項: 2010
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3109653/
https://ncbi.nlm.nih.gov/pubmed/20552681
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.3971
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