12 papers
Debiased Inference for High-Dimensional Regression Models Based on Profile M-Estimation
Yuhao Deng, Yi Wang, Yu Gu +2
Debiased inference for high-dimensional regression models has received substantial recent attention to ensure regularized estimators have valid inference. Many existing methods foc…
Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments
Yuan Bian, Donglin Zeng, Hyun-Joon Yang +2
An individualized treatment rule (ITR) tailors treatments to a patient's specific characteristics. However, randomized controlled trials (RCTs) are often underpowered to detect the…
Shared hidden-factor information framework for multiple behavioral tasks
Yuan Bian, Yuanjia Wang, Xingche Guo
Understanding cognitive processes in major depressive disorder (MDD) often relies on behavioral tasks, which are typically analyzed separately, overlooking potential correlations a…
Maximin Learning of Individualized Treatment Effect on Multi-Domain Outcomes
Yuying Lu, Wenbo Fei, Yuanjia Wang +1
Precision mental health requires treatment decisions that account for heterogeneous symptoms reflecting multiple clinical domains. However, existing methods for estimating individu…
Cumulative Marginal Mean Model for Assessing Sequential Effects Using Digital Health Data
Xingche Guo, Zexi Cai, Yuanjia Wang +1
Mobile health (mHealth) leverages digital technologies, such as mobile phones, to capture objective, frequent, and real-world digital phenotypes from individuals, enabling the deli…
Semiparametric Analysis of Interval-Censored Data Subject to Inaccurate Diagnoses with A Terminal Event
Yuhao Deng, Donglin Zeng, Yuanjia Wang
Interval-censoring frequently occurs in studies of chronic diseases where disease status is inferred from intermittently collected biomarkers. Although many methods have been devel…