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Bias correction for the proportional odds logistic regression model with application to a study of surgical complications

The proportional odds logistic regression model is widely used for relating an ordinal outcome to a set of covariates. When the number of outcome categories is relatively large, the sample size is relatively small, and/or certain outcome categories are rare, maximum likelihood can yield biased estim...

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Detalhes bibliográficos
Main Authors: Lipsitz, Stuart R., Fitzmaurice, Garrett M., Regenbogen, Scott E., Sinha, Debajyoti, Ibrahim, Joseph G., Gawande, Atul A.
Formato: Artigo
Idioma:Inglês
Publicado em: 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3729470/
https://ncbi.nlm.nih.gov/pubmed/23913986
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