Donglin Zeng, Ph.D.

Affiliations: 
2001 University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
Statistics
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"Donglin Zeng"

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Susan A. Murphy grad student 2001 University of Michigan
 (Adjusting for dependent censoring using high-dimensional auxiliary information.)
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Publications

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Li C, Tian Y, Zeng D, et al. (2023) Asymptotic Properties for Cumulative Probability Models for Continuous Outcomes. Mathematics (Basel, Switzerland). 11
Lou J, Wang Y, Li L, et al. (2023) Estimating individualized treatment rules for multicategory type 2 diabetes treatments using electronic health records. Statistics and Its Interface. 16: 505-515
Ma H, Zeng D, Liu Y. (2023) Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments. Journal of Machine Learning Research : Jmlr. 24
Gao D, Liu Y, Zeng D. (2023) Non-asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive Trials. Journal of Machine Learning Research : Jmlr. 23
Yang S, Gao C, Zeng D, et al. (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. 85: 575-596
Butera NM, Zeng D, Heiss G, et al. (2023) Modeling longitudinal change in biomarkers using data from a complex survey sampling design: An application to the Hispanic Community Health Study/Study of Latinos. Statistics in Medicine. 42: 632-655
Diao G, Ma H, Zeng D, et al. (2022) Synthesizing studies for comparing different treatment sequences in clinical trials. Statistics in Medicine
Wang J, Zeng D, Lin DY. (2022) Semiparametric single-index models for optimal treatment regimens with censored outcomes. Lifetime Data Analysis
Xu T, Chen Y, Zeng D, et al. (2022) Self-matched learning to construct treatment decision rules from electronic health records. Statistics in Medicine
Lee D, Yang S, Dong L, et al. (2021) Improving trial generalizability using observational studies. Biometrics
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