78 citations · 114 across the 11 of their papers we have counts for
10 papers · 1 filter
Efficient surrogate-assisted inference for patient-reported outcome measures with complex missing mechanism
Jaeyoung Park, Muxuan Liang, Ying-Qi Zhao +1
Patient-reported outcome (PRO) measures are increasingly collected as a means of measuring healthcare quality and value. The capability to predict such measures enables patient-pro…
Handling Nonmonotone Missing Data with Available Complete-Case Missing Value Assumption
Gang Cheng, Yen-Chi Chen, Maureen A. Smith +1
Nonmonotone missing data is a common problem in scientific studies. The conventional ignorability and missing-at-random (MAR) conditions are unlikely to hold for nonmonotone missin…
Long-term effect estimation when combining clinical trial and observational follow-up datasets
Gang Cheng, Yen-Chi Chen, Joseph M. Unger +2
Combining experimental and observational follow-up datasets has received much attention lately. In a survival setting, recent work has used Medicare claims to extend the follow-up…
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
Muxuan Liang, Young-Geun Choi, Yang Ning +2
With the increasing adoption of electronic health records, there is an increasing interest in developing individualized treatment rules, which recommend treatments according to pat…
Sample Size Calculations for SMARTs
Eric J. Rose, Eric B. Laber, Marie Davidian +3
Sequential Multiple Assignment Randomized Trials (SMARTs) are considered the gold standard for estimation and evaluation of treatment regimes. SMARTs are typically sized to ensure…
Efficient augmentation and relaxation learning for individualized treatment rules using observational data
Ying-Qi Zhao, Eric B. Laber, Yang Ning +2
Individualized treatment rules aim to identify if, when, which, and to whom treatment should be applied. A globally aging population, rising healthcare costs, and increased access…
Constructing Stabilized Dynamic Treatment Regimes for Censored Data
Ying-Qi Zhao, Ruoqing Zhu, Guanhua Chen +1
Stabilized dynamic treatment regimes are sequential decision rules for individual patients that not only adaptive throughout the disease progression but also remain consistent over…
Simultaneous disease mapping and hot spot detection with application to childhood obesity surveillance from electronic health records
Young-Geun Choi, Lawrence P. Hanrahan, Derek Norton +1
Electronic health records (EHRs) have become a platform for data-driven surveillance on a granular level in recent years. In this paper, we make use of EHRs for early prevention of…
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…
Active Clinical Trials for Personalized Medicine
Stanislav Minsker, Ying-Qi Zhao, Guang Cheng
Individualized treatment rules (ITRs) tailor treatments according to individual patient characteristics. They can significantly improve patient care and are thus becoming increasin…