1 citations · 1 across the 5 of their papers we have counts for
6 papers
Fracture Risk Prediction in Adults Over 50 Years Old Using DXA and EHR: Comparison of Traditional and Machine Learning Models in Two Large Cohorts
Jiahe Qian, Hao Dai, Kunyu Yu +6
Accurate fracture risk prediction is important for osteoporosis management, but commonly used clinical tools may not fully use information available in electronic health records (E…
Multi-Metric Adaptive Experimental Design Under a Fixed Budget with Validation
Qining Zhang, Tanner Fiez, Yi Liu +1
A/B tests in online experiments face statistical power challenges when testing multiple candidates simultaneously, while adaptive experimental designs (AED) alone fall short in inf…
Targeted Data Fusion for Region-Specific Survival Effects in the AMP HIV Prevention Trials
Yi Liu, Alexander W. Levis, Ke Zhu +3
The Antibody Mediated Prevention (AMP) trials opened a new scientific frontier by showing that passively administered monoclonal broadly neutralizing antibodies (bnAbs) could preve…
Estimation and Inference for Win Measures with Multiple Ordinal Endpoints Subject to Missingness
Yi Liu, Huiman Barnhart, Sean O'Brien +2
Win measures, including the win ratio (WR), win odds (WO), net benefit (NB), and desirability of outcome ranking (DOOR), are increasingly used in randomized clinical trials with mu…
Towards end-to-end LLM-based censoring-aware survival analysis
Yishu Wei, Hexin Dong, Yi Lin +3
Objective: Survival analysis is central to medical prediction, yet large language models (LLMs) are rarely used as end-to-end survival models because censoring prevents straightfor…
COADVISE: Covariate Adjustment with Variable Selection in Randomized Controlled Trials
Yi Liu, Ke Zhu, Larry Han +1
Adjusting for covariates in randomized controlled trials can enhance the credibility and efficiency of treatment effect estimation. However, handling numerous covariates and their…