21 citations · 37 across the 7 of their papers we have counts for
7 papers
A Differential Effect Approach to Partial Identification of Treatment Effects
Kan Chen, Jeffrey Zhang, Bingkai Wang +1
We consider identification and inference for the average treatment effect and heterogeneous treatment effect conditional on observable covariates in the presence of unmeasured conf…
Model-robust and efficient covariate adjustment for cluster-randomized experiments
Bingkai Wang, Chan Park, Dylan S. Small +1
Cluster-randomized experiments are increasingly used to evaluate interventions in routine practice conditions, and researchers often adopt model-based methods with covariate adjust…
Randomization Inference for Cluster-Randomized Test-Negative Designs with Application to Dengue Studies: Unbiased estimation, Partial compliance, and Stepped-wedge design
Bingkai Wang, Suzanne M. Dufault, Dylan S. Small +1
In 2019, the World Health Organization identified dengue as one of the top ten global health threats. For the control of dengue, the Applying Wolbachia to Eliminate Dengue (AWED) s…
On the mixed-model analysis of covariance in cluster-randomized trials
Bingkai Wang, Michael O. Harhay, Jiaqi Tong +3
In the analyses of cluster-randomized trials, mixed-model analysis of covariance (ANCOVA) is a standard approach for covariate adjustment and handling within-cluster correlations.…
Improving the mixed model for repeated measures to robustly increase precision in randomized trials
Bingkai Wang, Yu Du
In randomized trials, repeated measures of the outcome are routinely collected. The mixed model for repeated measures (MMRM) leverages the information from these repeated outcome m…
Regularized regression on compositional trees with application to MRI analysis
Bingkai Wang, Brian S. Caffo, Xi Luo +4
A compositional tree refers to a tree structure on a set of random variables where each random variable is a node and composition occurs at each non-leaf node of the tree. As a gen…
Identifying brain hierarchical structures associated with Alzheimer's disease using a regularized regression method with tree predictors
Yi Zhao, Bingkai Wang, Chin-Fu Liu +4
Brain segmentation at different levels is generally represented as hierarchical trees. Brain regional atrophy at specific levels was found to be marginally associated with Alzheime…