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

BACKGROUND: Despite recent advances in causal inference methods, outcome regression remains the most widely used approach for estimating causal effects in epidemiological studies with a single-point exposure and outcome. Missing data are common in these studies, and complete-case analysis (CCA) and...

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Detalles Bibliográficos
Autores principales: Zhang, Jiaxin, Dashti, S Ghazaleh, Carlin, John B., Lee, Katherine J., Moreno-Betancur, Margarita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933305/
https://www.ncbi.nlm.nih.gov/pubmed/36797679
http://dx.doi.org/10.1186/s12874-023-01843-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933305/
https://www.ncbi.nlm.nih.gov/pubmed/36797679
http://dx.doi.org/10.1186/s12874-023-01843-6

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