4 papers
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…
Calibrated Bayes analysis of cluster-randomized trials
Ruyi Liu, Joshua L. Warren, Yuki Ohnishi +3
In cluster-randomized trials (CRTs), entire clusters of individuals are randomized to treatment, and outcomes within a cluster are typically correlated. While frequentist approache…
A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints
Melody Owen, Fan Li, Ruyi Liu +1
Hybrid type 2 studies are gaining popularity for their ability to assess both implementation and health outcomes as co-primary endpoints. Often conducted as cluster-randomized tria…
Group sequential two-stage preference designs
Ruyi Liu, Fan Li, Denise Esserman +1
The two-stage preference design (TSPD) enables the inference for treatment efficacy while allowing for incorporation of patient preference to treatment. It can provide unbiased est…