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stat.ME2026
A Bayesian machine learning approach to direct and spillover effects in cluster-randomized trials with noncompliance
Saurabh Bhandari, Fan Li, Michael J. Daniels
We develop a Bayesian machine learning approach for estimating direct and spillover effects in cluster-randomized trials with treatment noncompliance. To flexibly model outcomes an…
stat.ME2026
Calibrated Bayesian inference for overall and subgroup-specific causal effects in stepped-wedge cluster-randomized trials
Ruyi Liu, Yuki Ohnishi, Xi Fang +2
Stepped-wedge cluster-randomized trials (SW-CRTs) randomly assign clusters to sequences that determine when each cluster switches from control to intervention. Conventional Bayesia…