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03/11/2023
A Differential Effect Approach to Partial Identification of Treatment Effects
We consider identification and inference for the average treatment effec...
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10/13/2022
Model-robust and efficient inference for cluster-randomized experiments
Cluster-randomized experiments are increasingly used to evaluate interve...
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02/07/2022
Randomization Inference for Cluster-Randomized Test-Negative Designs with Application to Dengue Studies: Unbiased estimation, Partial compliance, and Stepped-wedge design
In 2019, the World Health Organization identified dengue as one of the t...
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12/01/2021
On the robustness and precision of mixed-model analysis of covariance in cluster-randomized trials
In the analyses of cluster-randomized trials, a standard approach for co...
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10/18/2021
Robustly leveraging the post-randomization information to improve precision in the analyses of randomized clinical trials
In randomized clinical trials, repeated measures of the outcome are rout...
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04/14/2021
Regularized regression on compositional trees with application to MRI analysis
A compositional tree refers to a tree structure on a set of random varia...
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04/01/2021
Identifying brain hierarchical structures associated with Alzheimer's disease using a regularized regression method with tree predictors
Brain segmentation at different levels is generally represented as hiera...
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10/30/2019