Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches.

Martin, Glen P; Sperrin, Matthew; Snell, Kym I E; Buchan, Iain; Riley, Richard D

Martin, Glen P; Sperrin, Matthew; Snell, Kym I E; Buchan, Iain; Riley, Richard D.

Afiliação

Martin GP; Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
Sperrin M; Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
Snell KIE; Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire, UK.
Buchan I; Institute of Population Health Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
Riley RD; Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire, UK.

Stat Med ; 40(2): 498-517, 2021 01 30.

Article em En | MEDLINE | ID: mdl-33107066

Assuntos

Modelos Estatísticos; Teorema de Bayes; Simulação por Computador; Humanos; Modelos Logísticos; Prognóstico

Palavras-chave

binary outcomes; clinical prediction model; multiple outcomes; multivariate modeling; regression; risk prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

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