Comment on Oberman & Vink: Should we fix or simulate the complete data in simulation studies evaluating missing data methods?

Morris, Tim P; White, Ian R; Cro, Suzie; Bartlett, Jonathan W; Carpenter, James R; Pham, Tra My

Morris, Tim P; White, Ian R; Cro, Suzie; Bartlett, Jonathan W; Carpenter, James R; Pham, Tra My.

Afiliación

Morris TP; MRC Clinical Trials Unit at UCL, University College London, London, UK.
White IR; MRC Clinical Trials Unit at UCL, University College London, London, UK.
Cro S; Imperial Clinical Trials Unit, Imperial College London, London, UK.
Bartlett JW; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
Carpenter JR; MRC Clinical Trials Unit at UCL, University College London, London, UK.
Pham TM; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.

Biom J ; 66(1): e2300085, 2024 Jan.

Article en En | MEDLINE | ID: mdl-37823668

ABSTRACT

ABSTRACT

For simulation studies that evaluate methods of handling missing data, we argue that generating partially observed data by fixing the complete data and repeatedly simulating the missingness indicators is a superficially attractive idea but only rarely appropriate to use.

Asunto(s)

Investigación; Interpretación Estadística de Datos; Simulación por Computador

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Investigación Idioma: En Revista: Biom J Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

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