Calculating the power to examine treatment-covariate interactions when planning an individual participant data meta-analysis of randomized trials with a binary outcome.

Riley, Richard D; Hattle, Miriam; Collins, Gary S; Whittle, Rebecca; Ensor, Joie

Riley, Richard D; Hattle, Miriam; Collins, Gary S; Whittle, Rebecca; Ensor, Joie.

Riley RD; Centre for Prognosis Research, School of Medicine, Keele University, Keele, Staffordshire, UK.
Hattle M; Centre for Prognosis Research, School of Medicine, Keele University, Keele, Staffordshire, UK.
Collins GS; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Whittle R; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Ensor J; Centre for Prognosis Research, School of Medicine, Keele University, Keele, Staffordshire, UK.

Stat Med ; 41(24): 4822-4837, 2022 10 30.

Article en En | MEDLINE | ID: mdl-35932153

Asunto(s)

Análisis de Datos; Modelos Estadísticos; Humanos; Ensayos Clínicos Controlados Aleatorios como Asunto

Palabras clave

individual participant data (IPD); meta-analysis; power; treatment effect modifier; treatment-covariate interaction

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Modelos Estadísticos / Análisis de Datos Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

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