To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets.

Sinkovec, Hana; Heinze, Georg; Blagus, Rok; Geroldinger, Angelika

Sinkovec, Hana; Heinze, Georg; Blagus, Rok; Geroldinger, Angelika.

Afiliação

Sinkovec H; Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
Heinze G; Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
Blagus R; Institute for Biostatistics and Medical Informatics, University of Ljubljana, Ljubljana, Slovenia.
Geroldinger A; Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria. angelika.geroldinger@gmx.at.

BMC Med Res Methodol ; 21(1): 199, 2021 09 30.

Article em En | MEDLINE | ID: mdl-34592945

Assuntos

Modelos Logísticos; Viés; Simulação por Computador; Humanos; Probabilidade

Palavras-chave

Calibration slope; Firth's correction; Mean squared error; Penalized logistic regression; Ridge regression; Shrinkage; Tuning

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Logísticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Áustria

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