Impact of predictor measurement heterogeneity across settings on the performance of prediction models: A measurement error perspective.

Luijken, K; Groenwold, R H H; Van Calster, B; Steyerberg, E W; van Smeden, M

Luijken, K; Groenwold, R H H; Van Calster, B; Steyerberg, E W; van Smeden, M.

Afiliación

Luijken K; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Groenwold RHH; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Van Calster B; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Steyerberg EW; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
van Smeden M; Department of Development and Regeneration, University of Leuven, Leuven, Belgium.

Stat Med ; 38(18): 3444-3459, 2019 08 15.

Article en En | MEDLINE | ID: mdl-31148207

Asunto(s)

Modelos Estadísticos; Bioestadística; Simulación por Computador; Humanos; Modelos Logísticos; Método de Montecarlo; Valor Predictivo de las Pruebas; Estudios de Validación como Asunto

Palabras clave

Brier score; calibration; discrimination; external validation; measurement error; measurement heterogeneity; prediction model

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Modelos Estadísticos Tipo de estudio: Guideline / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Stat Med Año: 2019 Tipo del documento: Article País de afiliación: Países Bajos

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