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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...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Lyles, Robert H., Lin, Ji
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2010
Aiheet:
Linkit: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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