4 papers
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…
Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
Jeffrey Zhang, Zhe Chen, Xinyuan Chen +5
While palliative care is increasingly commonly delivered to hospitalized patients with serious illnesses, few studies have estimated its causal effects. Courtright et al. (2016) ad…
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…
Breast Cancer classification by adaptive weighted average ensemble of previously trained models
Mosab S. M. Farea, zhe chen
Breast cancer is a serious disease that inflicts millions of people each year, and the number of cases is increasing. Early detection is the best way to reduce the impact of the di…