Bingkai Wang

Has grant

Assistant Professor

University of Michigan

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Bingkai Wang is an Assistant Professor at the University of Michigan, USA. His research primarily focuses on statistical methodologies in health-related fields, including model robustness in randomized trials, covariate adjustment for cluster-randomized experiments, and methodologies for analyzing brain structures associated with Alzheimer's disease. His recent articles highlight advancements in statistical techniques, including regularized regression and innovations in clinical trial design.

Recent Grants

Grant: Close

Improving the design and statistical analysis of cluster-randomized trials on tropical infectious diseases

Open Date: 2023-05-17

Close Date: 2024-04-30

Articles (10)

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Collaborators (1)

Yi Zhao

Assistant Professor

Indiana University School of Medicine

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Bingkai Wang

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (10)

Improving the mixed model for repeated measures to robustly increase precision in randomized trials

How to achieve model-robust inference in stepped wedge trials with model-based methods?

Model-Robust and Efficient Covariate Adjustment for Cluster-Randomized Experiments

Identifying brain hierarchical structures associated with Alzheimer's disease using a regularized regression method with tree predictors

Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design

Regularized regression on compositional trees with application to MRI analysis

Durability of Cryoballoon Ablation in Neoplastic Barrett's Esophagus

A whole‐brain modeling approach to identify individual and group variations in functional connectivity

Semiparametric partial common principal component analysis for covariance matrices

Multifocal Cryoballoon Ablation for Eradication of Barrett's Esophagus-Related Neoplasia: A Prospective Multicenter Clinical Trial

Collaborators (1)

Yi Zhao

Make your next move.