Should multiple imputation be stratified by exposure group when estimating causal effects via outcome regression in observational studies?

Zhang, Jiaxin; Dashti, S Ghazaleh; Carlin, John B; Lee, Katherine J; Moreno-Betancur, Margarita

Zhang, Jiaxin; Dashti, S Ghazaleh; Carlin, John B; Lee, Katherine J; Moreno-Betancur, Margarita.

Afiliación

Zhang J; Clinical Epidemiology and Biostatistics Unit, Department of Paediatrics, University of Melbourne, Parkville, Australia. jiaxizhang1@student.unimelb.edu.au.
Dashti SG; Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, 50 Flemington Road, 3052, Parkville, Australia. jiaxizhang1@student.unimelb.edu.au.
Carlin JB; Clinical Epidemiology and Biostatistics Unit, Department of Paediatrics, University of Melbourne, Parkville, Australia.
Lee KJ; Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, 50 Flemington Road, 3052, Parkville, Australia.
Moreno-Betancur M; Clinical Epidemiology and Biostatistics Unit, Department of Paediatrics, University of Melbourne, Parkville, Australia.

BMC Med Res Methodol ; 23(1): 42, 2023 02 16.

Article en En | MEDLINE | ID: mdl-36797679

Asunto(s)

Simulación por Computador; Humanos; Adolescente; Sesgo

Palabras clave

Causal inference; Missing data; Multiple imputation; Observational study; Outcome regression; Target trial

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Simulación por Computador Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies Límite: Adolescent / Humans Idioma: En Revista: BMC Med Res Methodol Asunto de la revista: MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Australia

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