Harnessing repeated measurements of predictor variables for clinical risk prediction: a review of existing methods.

Bull, Lucy M; Lunt, Mark; Martin, Glen P; Hyrich, Kimme; Sergeant, Jamie C

Bull, Lucy M; Lunt, Mark; Martin, Glen P; Hyrich, Kimme; Sergeant, Jamie C.

Afiliación

Bull LM; Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
Lunt M; Centre for Biostatistics, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
Martin GP; Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
Hyrich K; Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
Sergeant JC; Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.

Diagn Progn Res ; 4: 9, 2020.

Article en En | MEDLINE | ID: mdl-32671229

Palabras clave

Clinical risk prediction; Dynamic prediction; Electronic health records; Joint models; Longitudinal data; Personalised medicine; Prediction models; Repeated observations; Survival analysis; Time-dependent covariates

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Diagn Progn Res Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido

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