27 citations · 28 across the 4 of their papers we have counts for
4 papers
Doubly robust causal inference through penalized bias-reduced estimation: combining non-probability samples with designed surveys
Jiacong Du, Xu Shi, Donglin Zeng +1
Causal inference on the average treatment effect (ATE) using non-probability samples, such as electronic health records (EHR), faces challenges from sample selection bias and high-…
Analyzing Clustered Continuous Response Variables with Ordinal Regression Models
Yuqi Tian, Bryan E. Shepherd, Chun Li +2
Continuous response variables often need to be transformed to meet regression modeling assumptions; however, finding the optimal transformation is challenging and results may vary…
Robust Hybrid Learning for Estimating Personalized Dynamic Treatment Regimens
Ying Liu, Yuanjia Wang, Michael R. Kosorok +2
Dynamic treatment regimens (DTRs) are sequential decision rules tailored at each stage by potentially time-varying patient features and intermediate outcomes observed in previous s…
Efficient Semiparametric Estimation of Short-term and Long-term Hazard Ratios with Right-Censored Data
Guoqing Diao, Donglin Zeng, Song Yang
The proportional hazards assumption in the commonly used Cox model for censored failure time data is often violated in scientific studies. Yang and Prentice (2005) proposed a novel…