Donglin Zeng
79 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0003-0843-9280
Department of Biostatistics, University of Michigan
Publications
- Checking the Cox Proportional Hazards Model with Interval-Censored Data — Journal of the American Statistical Association 2026
- Dynamic classification of latent disease progression with auxiliary surrogate labels — The Annals of Applied Statistics 2026
- Efficient Nonparametric Estimation of Stochastic Policy Effects with Clustered Interference — Journal of the American Statistical Association 2025
- Semiparametric Regression Analysis of Interval-Censored Multi-State Data with An Absorbing State — Journal of the American Statistical Association 2025
- A robust covariate-balancing method for learning optimal individualized treatment regimes — Biometrika 2025
- Maximum likelihood estimation for semiparametric regression models with interval-censored multistate data — Biometrika 2024
- A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders — Journal of the American Statistical Association 2024
- Controlling Cumulative Adverse Risk in Learning Optimal Dynamic Treatment Regimens — Journal of the American Statistical Association 2024
- Marginal proportional hazards models for multivariate interval-censored data — Biometrika 2023
- Bayesian inference and dynamic prediction for multivariate longitudinal and survival data — The Annals of Applied Statistics 2023
- Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
- Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes — Journal of the American Statistical Association 2023
- Partitioning around medoids clustering and random forest classification for GIS-informed imputation of fluoride concentration data — The Annals of Applied Statistics 2022
- Semiparametric latent-class models for multivariate longitudinal and survival data — The Annals of Statistics 2022
- Maximum likelihood estimation for semiparametric regression models with panel count data — Biometrika 2021
- Integrative network learning for multimodality biomarker data — The Annals of Applied Statistics 2021
- Introduction to the Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery — Journal of the American Statistical Association 2021
- High-Dimensional Precision Medicine From Patient-Derived Xenografts — Journal of the American Statistical Association 2021
- A parsimonious personalized dose-finding model via dimension reduction — Biometrika 2021
- Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes — Journal of the American Statistical Association 2021
- Modelling temporal biomarkers with semiparametric nonlinear dynamical systems — Biometrika 2021
- Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records — Journal of the American Statistical Association 2020
- Optimal Designs of Two-Phase Studies — Journal of the American Statistical Association 2020
- Counting process-based dimension reduction methods for censored outcomes — Biometrika 2019
- Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison” by Zhou, Elliott, and Little — Journal of the American Statistical Association 2019
- Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes — Journal of the American Statistical Association 2019
- Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events — Journal of the American Statistical Association 2019
- Early diagnosis of neurological disease using peak degeneration ages of multiple biomarkers — The Annals of Applied Statistics 2019
- Robust Score Tests With Missing Data in Genomics Studies — Journal of the American Statistical Association 2019
- Efficient Estimation for Semiparametric Structural Equation Models With Censored Data — Journal of the American Statistical Association 2018
- Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies — Journal of the American Statistical Association 2018
- Semiparametric regression analysis for composite endpoints subject to componentwise censoring — Biometrika 2018
- Efficient Semiparametric Inference Under Two-Phase Sampling, With Applications to Genetic Association Studies — Journal of the American Statistical Association 2017
- Maximum likelihood estimation for semiparametric regression models with multivariate interval-censored data — Biometrika 2017
- Comment — Journal of the American Statistical Association 2016
- Personalized Dose Finding Using Outcome Weighted Learning — Journal of the American Statistical Association 2016
- Rejoinder — Journal of the American Statistical Association 2016
- Variable selection for case-cohort studies with failure time outcome — Biometrika 2016
- Maximum likelihood estimation for semiparametric transformation models with interval-censored data — Biometrika 2016
- Doubly robust learning for estimating individualized treatment with censored data — Biometrika 2015
- New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes — Journal of the American Statistical Association 2015
- Regression analysis of sparse asynchronous longitudinal data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2015
- Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling — Journal of the American Statistical Association 2015
- Analysis of the Proportional Hazards Model With Sparse Longitudinal Covariates — Journal of the American Statistical Association 2015
- Reinforcement Learning Trees — Journal of the American Statistical Association 2015
- On random-effects meta-analysis — Biometrika 2015
- Efficient estimation of nonparametric genetic risk function with censored data — Biometrika 2015
- Semiparametric inference for data with a continuous outcome from a two-phase probability-dependent sampling scheme — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014
- Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies — Journal of the American Statistical Association 2014
- A Likelihood-Based Framework for Association Analysis of Allele-Specific Copy Numbers — Journal of the American Statistical Association 2014
- Targeted Local Support Vector Machine for Age-Dependent Classification — Journal of the American Statistical Association 2014
- Comment — Journal of the American Statistical Association 2014
- Comment — Journal of the American Statistical Association 2013
- Auxiliary Marker-Assisted Classification in the Absence of Class Identifiers — Journal of the American Statistical Association 2013
- Comment — Journal of the American Statistical Association 2013
- Variable selection in semiparametric transformation models for right-censored data — Biometrika 2013
- Estimating time-varying effects for overdispersed recurrent events data with treatment switching — Biometrika 2013
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning — Journal of the American Statistical Association 2012
- Predictive accuracy of covariates for event times — Biometrika 2012
- Correcting for Population Stratification in Genomewide Association Studies — Journal of the American Statistical Association 2011
- On the relative efficiency of using summary statistics versus individual-level data in meta-analysis — Biometrika 2010
- Attributable fraction functions for censored event times — Biometrika 2010
- A semiparametric additive rate model for recurrent events with an informative terminal event — Biometrika 2010
- Gamma frailty transformation models for multivariate survival times — Biometrika 2009
- Power-Transformed Linear Quantile Regression With Censored Data — Journal of the American Statistical Association 2008
- Partially Linear Additive Hazards Regression With Varying Coefficients — Journal of the American Statistical Association 2008
- Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models — Journal of the American Statistical Association 2008
- Sieve Maximum Likelihood Estimation for Regression Models With Covariates Missing at Random — Journal of the American Statistical Association 2007
- Efficient Estimation for the Accelerated Failure Time Model — Journal of the American Statistical Association 2007
- Semiparametric Transformation Models With Random Effects for Recurrent Events — Journal of the American Statistical Association 2007
- Maximum likelihood estimation in semiparametric regression models with censored data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2007
- Rejoinder — Journal of the American Statistical Association 2006
- Likelihood-Based Inference on Haplotype Effects in Genetic Association Studies — Journal of the American Statistical Association 2006
- Efficient estimation of semiparametric transformation models for counting processes — Biometrika 2006
- Semiparametric Transformation Models for Survival Data With a Cure Fraction — Journal of the American Statistical Association 2006
- Inference for a Class of Transformed Hazards Models — Journal of the American Statistical Association 2005
- Likelihood approach for marginal proportional hazards regression in the presence of dependent censoring — The Annals of Statistics 2005
- Maximum Likelihood Estimation for the Proportional Odds Model With Random Effects — Journal of the American Statistical Association 2005
- Estimating marginal survival function by adjusting for dependent censoring using many covariates — The Annals of Statistics 2004