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Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes
[article]
2020
arXiv
pre-print
The preponderance of large-scale healthcare databases provide abundant opportunities for comparative effectiveness research. Evidence necessary to making informed treatment decisions often relies on comparing effectiveness of multiple treatment options on outcomes of interest observed in a small number of individuals. Causal inference with multiple treatments and rare outcomes is a subject that has been treated sparingly in the literature. This paper designs three sets of simulations,
arXiv:2008.07687v2
fatcat:aakecjcqpffc7ea25vykk6rala