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Preprint Oct 2026

Calibrated Bayesian inference for overall and subgroup-specific causal effects in stepped-wedge cluster-randomized trials

Stepped-wedge cluster-randomized trials (SW-CRTs) randomly assign clusters to sequences that determine when each cluster switches from control to intervention. Conventional Bayesian analyses of SW-CRTs report treatment effect coefficients from a working outcome model, but under model misspecification or informative clu...

Ru-Yi Liu, Yuki Ohnishi, Xi Fang et al. · 1 citation
Review Sep 2026

Subgroup Analyses in Stepped-Wedge Cluster Randomized Trials: A Systematic Review of Statistical Practice and Reporting from 2016 to 2023.

OBJECTIVE Subgroup analyses can inform whether intervention effects differ systematically across participants, but they are prone to false-positive findings, low power, and selective reporting. Stepped-wedge cluster randomized trials (SW-CRTs) introduce additional inferential complexities (e.g., time effects, clusterin...

Guang-Yu Tong, Chang-Jun Li, Hao Wang et al. · 0 citations

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