2 papers
math.ST2024
Matching-Based Policy Learning
Xuqiao Li, Ying Yan
The beneficial effects of treatments vary across individuals in most studies. Treatment heterogeneity motivates practitioners to search for the optimal policy based on personal cha…
stat.ME2023
Multicategory Matched Learning for Estimating Optimal Individualized Treatment Rules in Observational Studies with Application to a Hepatocellular Carcinoma Study
Xuqiao Li, Qiuyan Zhou, Ying Wu +1
One primary goal of precision medicine is to estimate the individualized treatment rules (ITRs) that optimize patients' health outcomes based on individual characteristics. Health…