1 citations · 1 across the 4 of their papers we have counts for
4 papers
Bridging Balancing Weights and Augmentation in Covariate-adjusted Analyses with Time-to-Event Endpoints: Theory and Practical Recommendations
Baoshan Zhang, Yi Chen, Yu Du +1
Covariate adjustment improves the efficiency of treatment-effect analyses in randomized clinical trials, provided the adjustment targets the correct quantity. For time-to-event end…
The FORSS Framework for Sample Size and Power Calculations With Win Statistics for Hierarchical Endpoints
Baoshan Zhang, Huiman X. Barnhart, Yuan Wu +1
Win statistics have gained increasing popularity as primary analysis methods for clinical trials with hierarchical endpoints (HEs) as primary endpoints. However, existing sample si…
Improving Variance and Confidence Interval Estimation in Small-Sample Propensity Score Analyses: Bootstrap vs. Asymptotic Methods
Baoshan Zhang, Sean M. O'Brien, Yuan Wu +1
Propensity score (PS) methods are widely used to estimate treatment effects in non-randomized studies. Variance is typically estimated using sandwich or bootstrap methods, which ca…
Sequential Design with Derived Win Statistics
Baoshan Zhang, Yuan Wu
The Win Ratio has gained significant traction in cardiovascular trials as a novel method for analyzing composite endpoints (Pocock and others, 2012). Compared with conventional app…