8 citations · 10 across the 7 of their papers we have counts for
6 papers · 1 filter
Empirical Simulation of Survival and Mixed-Type Data for Clinical Trial Design
Yao Chen, Jiren Sun, Yuxin Ding +2
Simulating realistic time-to-event data is essential for planning and evaluating complex clinical trial designs. Conventional approaches often sample event times from parametric fa…
Optimizing Efficiency and Convergence in MMRM: Practical Considerations for Longitudinal Data Analysis
Dylan Clarke, Jeremiah Jones, Yongming Qu
Mixed models for repeated measures (MMRM) are a popular method for analyzing longitudinal data in clinical trials. However, practical challenges, such as small sample sizes, large…
An Empirical Method for Analyzing Count Data
Jiren Sun, Linda Amoafo, Yongming Qu
Count endpoints are common in clinical trials, particularly for recurrent events such as hypoglycemia. When interest centers on comparing overall event rates between treatment grou…
Estimating treatment effects with competing intercurrent events in randomized controlled trials
Sizhu Lu, Yanyao Yi, Yongming Qu +3
The analysis of randomized controlled trials is often complicated by intercurrent events (IEs) -- events that occur after treatment initiation and affect either the interpretation…
Direct Estimation for Commonly Used Pattern-Mixture Models in Clinical Trials
Jitong Lou, Mallikarjuna Rettiganti, Yongming Qu
Pattern-mixture models have received increasing attention as they are commonly used to assess treatment effects in primary or sensitivity analyses for clinical trials with nonignor…
Understanding and adjusting the selection bias from a proof-of-concept study to a more confirmatory study
Yongming Qu, Yu Du, Ying Zhang +1
It has long been noticed that the efficacy observed in small early phase studies is generally better than that observed in later larger studies. Historically, the inflation of the…