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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...

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Detalles Bibliográficos
Autores principales: Hu, Liangyuan, Ji, Jiayi, Ennis, Ronald D., Hogan, Joseph W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
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