Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: Comparison of methods implemented in Stata.

De Silva, Anurika P; De Livera, Alysha M; Lee, Katherine J; Moreno-Betancur, Margarita; Simpson, Julie A

De Silva, Anurika P; De Livera, Alysha M; Lee, Katherine J; Moreno-Betancur, Margarita; Simpson, Julie A.

Afiliación

De Silva AP; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.
De Livera AM; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.
Lee KJ; Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia.
Moreno-Betancur M; Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia.
Simpson JA; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.

Biom J ; 63(2): 354-371, 2021 02.

Article en En | MEDLINE | ID: mdl-33103307

Asunto(s)

Proyectos de Investigación; Australia; Sesgo; Niño; Simulación por Computador; Humanos; Estudios Longitudinales; Probabilidad

Palabras clave

inverse probability weighting; longitudinal data; missing data; multiple imputation; sampling weight

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Humans País/Región como asunto: Oceania Idioma: En Revista: Biom J Año: 2021 Tipo del documento: Article País de afiliación: Australia

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