27 citations · 68 across the 25 of their papers we have counts for
17 papers · 1 filter
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…
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…
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…
Multi-level Latent Variable Models for Coheritability Analysis in Electronic Health Records
Yinjun Zhao, Nicholas Tatonetti, Yuanjia Wang
Electronic health records (EHRs) linked with familial relationship data offer a unique opportunity to investigate the genetic architecture of complex phenotypes at scale. However,…
An Integrative Approach for Subtyping Mental Disorders Using Multimodal Data
Yinjun Zhao, Yuanjia Wang, Ying LIu
Understanding the biological and behavioral heterogeneity underlying psychiatric disorders is critical for advancing precision diagnosis, treatment, and prevention. This paper addr…
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…
Joint modeling for learning decision-making dynamics in behavioral experiments
Yuan Bian, Xingche Guo, Yuanjia Wang
Major depressive disorder (MDD), a leading cause of disability and mortality, is associated with reward-processing abnormalities and concentration issues. Motivated by the probabil…
Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels
Zexi Cai, Donglin Zeng, Karen S. Marder +2
Disease progression prediction based on patients' evolving health information is challenging when true disease states are unknown due to diagnostic capabilities or high costs. For…
Fusing Individualized Treatment Rules Using Secondary Outcomes
Daiqi Gao, Yuanjia Wang, Donglin Zeng
An individualized treatment rule (ITR) is a decision rule that recommends treatments for patients based on their individual feature variables. In many practices, the ideal ITR for…
A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data
Xingche Guo, Bin Yang, Ji Meng Loh +2
Mental disorders present challenges in diagnosis and treatment due to their complex and heterogeneous nature. Electroencephalogram (EEG) has shown promise as a potential biomarker…
Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls
Mochuan Liu, Yuanjia Wang, Haoda Fu +1
Dynamic treatment regimens (DTRs) aim at tailoring individualized sequential treatment rules that maximize cumulative beneficial outcomes by accommodating patients' heterogeneity i…
Learning non-monotone optimal individualized treatment regimes
Trinetri Ghosh, Yanyuan Ma, Wensheng Zhu +1
We propose a new modeling and estimation approach to select the optimal treatment regime from different options through constructing a robust estimating equation. The method is pro…
Evaluating Effectiveness of Public Health Intervention Strategies for Mitigating COVID-19 Pandemic
Shanghong Xie, Wenbo Wang, Qinxia Wang +2
Coronavirus disease 2019 (COVID-19) pandemic is an unprecedented global public health challenge. In the United States (US), state governments have implemented various non-pharmaceu…
A General Framework of Nonparametric Feature Selection in High-Dimensional Data
Hang Yu, Yuanjia Wang, Donglin Zeng
Nonparametric feature selection in high-dimensional data is an important and challenging problem in statistics and machine learning fields. Most of the existing methods for feature…
Estimation of Genetic Risk Function with Covariates in the Presence of Missing Genotypes
Annie J. Lee, Karen Marder, Helen Mejia-Santana +4
In genetic epidemiological studies, family history data are collected on relatives of study participants and used to estimate the age-specific risk of disease for individuals who c…
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…