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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| 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 |