3 papers
stat.ME2026
Semi-supervised Method for Risk Prediction with Doubly Censored EHR Data
Jie Zhou, Enhao Wang, Xuan Wang
The rapid expansion of large-scale electronic health record (EHR) data offers unique opportunities to improve the accuracy and efficiency of clinical risk estimation. Yet, because…
stat.ME2024
Model-free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival
Xuan Wang, Tianxi Cai, Lu Tian +1
Clinical trials or studies oftentimes require long-term and/or costly follow-up of participants to evaluate a novel treatment/drug/vaccine. There has been increasing interest in th…
stat.ME2024
Semiparametric Joint Modeling to Estimate the Treatment Effect on a Longitudinal Surrogate with Application to Chronic Kidney Disease Trials
Xuan Wang, Jie Zhou, Layla Parast +1
In clinical trials where long follow-up is required to measure the primary outcome of interest, there is substantial interest in using an accepted surrogate outcome that can be mea…