Quantifying the impact of different approaches for handling continuous predictors on the performance of a prognostic model.

Collins, Gary S; Ogundimu, Emmanuel O; Cook, Jonathan A; Manach, Yannick Le; Altman, Douglas G

Collins, Gary S; Ogundimu, Emmanuel O; Cook, Jonathan A; Manach, Yannick Le; Altman, Douglas G.

Afiliação

Collins GS; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Windmill Road, Oxford, OX3 7LD, U.K.
Ogundimu EO; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Windmill Road, Oxford, OX3 7LD, U.K.
Cook JA; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Windmill Road, Oxford, OX3 7LD, U.K.
Manach YL; Departments of Anesthesia and Clinical Epidemiology and Biostatistics, Michael DeGroote School of Medicine, Faculty of Health Sciences, McMaster University and the Perioperative Research Group, Population Health Research Institute, Hamilton, Canada.
Altman DG; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Windmill Road, Oxford, OX3 7LD, U.K.

Stat Med ; 35(23): 4124-35, 2016 10 15.

Article em En | MEDLINE | ID: mdl-27193918

Assuntos

Modelos Estatísticos; Prognóstico; Algoritmos; Humanos

Palavras-chave

continuous predictors; dichotomisation; prognostic modelling

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prognóstico / Modelos Estatísticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido

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