A flexible approach for causal inference with multiple treatments and clustered survival outcomes
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DOI: 10.1002/sim.9548
Abstract: 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… read more here.
Keywords: causal inference; treatments clustered; causal; multiple treatments ... See more keywords