60 citations · 250 across the 23 of their papers we have counts for
24 papers
A network-based regression approach for identifying subject-specific driver mutations
Kin Yau Wong, Donglin Zeng, D. Y. Lin
In cancer genomics, it is of great importance to distinguish driver mutations, which contribute to cancer progression, from causally neutral passenger mutations. We propose a rando…
Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
Tianchen Xu, Yuan Chen, Donglin Zeng +1
Digital technologies (e.g., mobile phones) can be used to obtain objective, frequent, and real-world digital phenotypes from individuals. However, modeling these data poses substan…
Rank Intraclass Correlation for Clustered Data
Shengxin Tu, Chun Li, Donglin Zeng +1
Clustered data are common in biomedical research. Observations in the same cluster are often more similar to each other than to observations from other clusters. The intraclass cor…
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…
Maximum Likelihood Estimation for Semiparametric Regression Models with Interval-Censored Multi-State Data
Yu Gu, Donglin Zeng, Gerardo Heiss +1
Interval-censored multi-state data arise in many studies of chronic diseases, where the health status of a subject can be characterized by a finite number of disease states and the…
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…