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A flexible approach for causal inference with multiple treatments and clustered survival outcomes
When drawing causal inferences about the effects of multiple treatments on clustered survival outcomes using observational data, we need to address implications of the multilevel data structure, multiple treatments, censoring, and unmeasured confounding for causal analyses. Few off‐the‐shelf causal...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588538/ https://www.ncbi.nlm.nih.gov/pubmed/35948011 http://dx.doi.org/10.1002/sim.9548 |