Bingkai Wang

MathematicsNeuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 13 papers. Top paper: “Test-negative designs with various reasons for testing: statistical bias and solution”.

Test-negative designs with various reasons for testing: statistical bias and solution

arXiv (Cornell University)(2023)10.48550/arxiv.2312.03967

N/A

0.104DataRank · unranked

1 citations

Liu, Tom Hongyi, Kendrick Qijun Li, Nicholas P. Jewell, Eric Tchetgen Tchetgen, Dylan S. Small +3 more

Regularized Regression on Compositional Trees with Application to MRI Analysis

Journal of the Royal Statistical Society Series C (Applied Statistics)(2022)10.1111/rssc.12545

N/A

0DataRank · unranked

3 citations

Brian Caffo, Xi Luo, Chin-Fu Liu, Andréia V. Faria, Michael I. Miller +2 more

Identifying Brain Hierarchical Structures Associated with Alzheimer's Disease Using a Regularized Regression Method with Tree Predictors

Biometrics(2022)10.1111/biom.13775

N/A

0DataRank · unranked

1 citations

Bingkai Wang, Chin-Fu Liu, Andréia V. Faria, Michael I. Miller, Brian Caffo +2 more

A Differential Effect Approach to Partial Identification of Treatment Effects

arXiv (Cornell University)(2023)10.48550/arxiv.2303.06332

N/A

0DataRank · unranked

0 citations

Zhang, Jeffrey, Bingkai Wang, Dylan S. Small, Chen Kan

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

Biometrics(2024)10.1093/biomtc/ujae123

N/A

0DataRank · unranked

21 citations

Xueqi Wang, Fan Li, Bingkai Wang

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

arXiv (Cornell University)(2024)10.48550/arxiv.2401.15680

N/A

0DataRank · unranked

2 citations

Xueqi Wang, Fan Li, Bingkai Wang

Handling incomplete outcomes and covariates in cluster-randomized trials: doubly-robust estimation, efficiency considerations, and sensitivity analysis

arXiv (Cornell University)(2024)10.48550/arxiv.2401.11278

N/A

0DataRank · unranked

0 citations

Fan Li, Rui Wang, Bingkai Wang

Asymptotic inference with flexible covariate adjustment under rerandomization and stratified rerandomization

arXiv (Cornell University)(2024)10.48550/arxiv.2406.02834

N/A

0DataRank · unranked

0 citations

Fan Li, Bingkai Wang

Model-robust standardization in stepped wedge cluster randomized trials

arXiv (Cornell University)(2025)10.48550/arxiv.2507.17190

N/A

0DataRank · unranked

0 citations

Xueqi Wang, Patrick J. Heagerty, Bingkai Wang, Fan Li, Xi Fang

Rationale and protocol for a prospective clinical trial enrollment improvement hybrid study within a trial

Contemporary Clinical Trials Communications(2025)10.1016/j.conctc.2025.101548

N/A

0DataRank · unranked

0 citations

Sabrina D. Clark, Elaina Shoemaker, Bingkai Wang, Jerison Ross, Stephanie Daignault‐Newton +8 more

Estimands and doubly robust estimation for cluster-randomized trials with survival outcomes

arXiv (Cornell University)(2025)10.48550/arxiv.2510.08438

N/A

0DataRank · unranked

0 citations

Bingkai Wang, Liangyuan Hu, Fan Li, Xi Fang

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

arXiv (Cornell University)(2021)10.48550/arxiv.2104.00454

N/A

0DataRank · unranked

0 citations

Bingkai Wang, Chin-Fu Liu, Andréia V. Faria, Michael I. Miller, Brian Caffo +2 more

Test-negative Designs with Various Reasons for Testing: Statistical Bias and Solution

Epidemiology(2025)10.1097/ede.0000000000001940

N/A

0DataRank · unranked

0 citations

Tom Hongyi Liu, Kendrick Qijun Li, Nicholas P. Jewell, Eric Tchetgen Tchetgen, Dylan S. Small +3 more