collaborators

7 papers

stat.AP2025

Uncovering Treatment Effect Heterogeneity in Pragmatic Gerontology Trials

Changjun Li, Heather Allore, Michael O. Harhay +2

Detecting heterogeneity in treatment response enriches the interpretation of gerontologic trials. In aging research, estimating the effect of the intervention on clinically meaning…

stat.ME2025

Evaluating Informative Cluster Size in Cluster Randomized Trials

Bryan S. Blette, Zhe Chen, Brennan C. Kahan +3

In cluster randomized trials, the average treatment effect among individuals (i-ATE) can be different from the cluster average treatment effect (c-ATE) when informative cluster siz…

stat.ME2025

Bayesian inference for cluster-randomized trials with multivariate outcomes subject to both truncation by death and missingness

Guangyu Tong, Chenxi Li, Eric Velazquez +2

Cluster-randomized trials (CRTs) on fragile populations frequently encounter complex attrition problems where the reasons for missing outcomes can be heterogeneous, with participan…

stat.ME2025

A Bayesian approach to the survivor average causal effect in cluster-randomized crossover trials

Dane Isenberg, Michael O. Harhay, Andrew B. Forbes +3

In cluster-randomized crossover (CRXO) trials, groups of individuals are randomly assigned to two or more sequences of alternating treatments. Since clusters serve as their own con…

stat.ME2025

Time-varying treatment effect models in stepped-wedge cluster-randomized trials with multiple interventions

Zhe Chen, Wei Wang, Yingying Lu +4

The traditional model specification of stepped-wedge cluster-randomized trials assumes a homogeneous treatment effect across time while adjusting for fixed-time effects. However, w…

stat.ME2025

On Anticipation Effect in Stepped Wedge Cluster Randomized Trials

Hao Wang, Xinyuan Chen, Katherine R. Courtright +4

In stepped wedge cluster randomized trials (SW-CRTs), the intervention is rolled out to clusters over multiple periods. A standard approach for analyzing SW-CRTs utilizes the linea…