2 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.ME2026
Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information
Chi-Shian Dai, Jun Shao
In many modern applications, a carefully designed primary study provides individual-level data for interpretable modeling, while summary-level external information is available thr…
stat.ME2023★ 2 cited
Robust Variance Estimation for Covariate-Adjusted Unconditional Treatment Effect in Randomized Clinical Trials with Binary Outcomes
Ting Ye, Marlena Bannick, Yanyao Yi +1
To improve precision of estimation and power of testing hypothesis for an unconditional treatment effect in randomized clinical trials with binary outcomes, researchers and regulat…
stat.ME2022★ 1 cited
Covariate-Adjusted Log-Rank Test: Guaranteed Efficiency Gain and Universal Applicability
Ting Ye, Jun Shao, Yanyao Yi
Nonparametric covariate adjustment is considered for log-rank type tests of treatment effect with right-censored time-to-event data from clinical trials applying covariate-adaptive…