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

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Publication:6638950
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DOI10.1111/J.1467-9876.2012.01057.XMaRDI QIDQ6638950

Scott E. Regenbogen, Debajyoti Sinha, Garrett M. Fitzmaurice, Atul A. Gawande, Stuart R. Lipsitz, Joseph G. Ibrahim

Publication date: 14 November 2024

Published in: Journal of the Royal Statistical Society. Series C. Applied Statistics (Search for Journal in Brave)




zbMATH Keywords

multinomial logistic regressionpenalized likelihoodPoisson likelihooddiscrete responsemultinomial likelihood


Mathematics Subject Classification ID

Applications of statistics (62Pxx)



Related Items (3)

A penalized likelihood approach for dealing with separation in count data regression model ⋮ Bias-reduced and separation-proof GEE with small or sparse longitudinal binary data ⋮ The number of response categories in ordered response models






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