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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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Bibliographic Details
Main Authors: Lyles, Robert H., Lin, Ji
Format: Artigo
Language:Inglês
Published: 2010
Subjects:
Online Access: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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