40 citations · 69 across the 12 of their papers we have counts for
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stat.ME2020
Hierarchical Bayesian Bootstrap for Heterogeneous Treatment Effect Estimation
Arman Oganisian, Nandita Mitra, Jason Roy
A major focus of causal inference is the estimation of heterogeneous average treatment effects (HTE) - average treatment effects within strata of another variable of interest such…
stat.ME2020★ 40 cited
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches
Arman Oganisian, Jason A. Roy
Substantial advances in Bayesian methods for causal inference have been developed in recent years. We provide an introduction to Bayesian inference for causal effects for practicin…
stat.ME2020
Bayesian Nonparametric Cost-Effectiveness Analyses: Causal Estimation and Adaptive Subgroup Discovery
Arman Oganisian, Nandita Mitra, Jason Roy
Cost-effectiveness analyses (CEAs) are at the center of health economic decision making. While these analyses help policy analysts and economists determine coverage, inform policy,…