Professor

Co-Director, Carolina Survey Research Laboratory

Department of Biostatistics

Gillings School of Global Public Health, CB#7420

University of North Carolina at Chapel Hill, 27599-7420

### Education

B.S.(major in pure mathematics), Department of Mathematics, University of Science and Technology of China, 1993

M.S. (major in partial differential equations), Department of Mathematics, University of Science and Technology of China, 1995

Ph.D., Department of Statistics, University of Michigan, 2001

### Teaching Activities

Course I.*Semiparametric Models in Health Science*, Fall 2002

Course II.*Advanced Probability and Statistical Inference (I)*, Fall 2004

Course III.*Advanced Probability and Statistical Inference (I)*, Fall 2005

Course IV.*Advanced Probability and Statistical Inference (I)*, Fall 2006

Course V.*Advanced Probability and Statistical Inference (I)*, Fall 2007

Workshop.*Empirical Processes and Statistical Applications*, Jul-Oct 2008

Course VI.*Advanced Probability and Statistical Inference (I)*, Fall 2009

Course VII.*Statistical Learning and High-Dimensional Data*, Spring 2011

Course VIII.*Advanced Probability and Statistical Inference (I)*, Fall 2011

Course VIV.*Advanced Survey Sampling Methods*, Spring 2013

Course X.*Advanced Probability and Statistical Inference (I)*, Fall 2015

Course XI.*Advanced Probability and Statistical Inference (I)*, Fall 2016

### Research Interest

My current interest is method development on machine learning, personalized medicine, semiparametric inference and high dimensional inference, with particular applications to EHR data, clinical trials, survival data and genetics in biomedical studies. Other applied areas I involve include medical diagnostics in breast imaging and AIDS.

Some recent work can be found in my curriculum vitae.

Some algorithms and codes related to my research on semiparametric transformation models are also available. Another page displays simulations for the meta-analysis.

My personal research interest, probably future interest, also includes linear/nonlinear functional analysis, which I respectfully view as the most pretty pearl in abstract sciences.

### Selected Publications

1. D. Zeng, Estimating Marginal Survival Function by Adjusting for Dependent Censoring Using Many Covariates,*Annals of Statistics*, 2004.

2. D. Zeng, Likelihood Approach for Marginal Proportional Hazards Regression in the Presence of Dependent Censoring,*Annals of Statistics*, 2005.

3. D. Zeng and J. Cai, Asymptotic Results for Maximum Likelihood Estimators in Joint Analysis of Repeated Measurements and Survival Time,*Annals of Statistics*, 2005.

4. D. Zeng, D.Y. Lin and G. Yin, Maximum Likelihood Estimation in the Proportional Odds Model with Random Effects,*Journal of the American Statistical Association*, 2005.

5. D. Zeng, G. Yin and J. Ibrahim, Inference for a Class of Transformed Hazards Model,*Journal of the American Statistical Association*, 2005.

6. D.Y. Lin and D. Zeng, Likelihood-Based Inference on Haplotype Effects in Genetic Association (with discussions),*Journal of the American Statistical Association*, 2006.

7. D. Zeng, G. Yin and J. Ibrahim, Semiparametric Transformation Models for Survival Data with a Cure Fraction,*Journal of the American Statistical Association*, 2006.

8. D. Zeng and D.Y. Lin, Maximum likelihood estimation in semiparametric transformation models for counting processes ,*Biometrika*, 2006 and its technical report.

9. D. Zeng and D.Y. Lin, Semiparametric Transformation Models With Random Effects for Recurrent Events,*Journal of the American Statistical Association*, 2007.

10. D. Zeng and D.Y. Lin, Maximum Likelihood Estimation in Semiparametric Models with Censored Data (with discussion).,*Journal of the Royal Statistical Society B*, 2007.

11. D. Zeng and D.Y. Lin, Efficient Estimation in the Accelerated Failure Time Model,*Journal of the American Statistical Association*, 2007.

12. Q. Chen, D. Zeng and J. Ibrahim, Sieve Maximum Likelihood Estimation for Regression Models with Covariates Missing at Random,*Journal of the American Statistical Assoication*, 2007.

13. B. Johnson, D. Y. Lin, and D. Zeng, Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models,*Journal of the American Statistical Assoication*, 2008.

14. G. Yin, H. Li, and D. Zeng, Partially Linear Additive Hazards Regression with Varying Coefficients,*Journal of the American Statistical Association*, 2008.

15. D. Zeng, Q. Chen and J. Ibrahim, Gamma-Frailty Transformation Models for Multivariate Survival Times,*Biometrika*, 2009.

16. D. Zeng and D.Y. Lin, A Generalized Asymptotic Theory for Maximum Likelihood Estimation in Semiparametric Regression Models with Censored Data,*Statistica Sinica*, 2009.

17. D. Zeng and J. Cai Semiparametric Additive Rate Model for Recurrent Events with Informative Terminal Event,*Biometrika*, 2010.

18. D.Y. Lin and D. Zeng On The Relative Efficiency of Using Summary Statistics versus Individual Level Data in Meta-Analysis ,*Biometrika*, 2010.

19. Y. Wang, T. Chen and D. ZengSupport Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes,*Journal of Machine Learning Research*, 2016.

20. Y. Wang, P. Wu, Y. Liu, C., C. Weng and D. Zeng Learning Optimal Individualized Treatment Rules form Electronic Health Record Data,*IEEE International Conference on Healthcare Informatics: ICHI 2016 proceedings*, 2016.

### Other Things about Me

Well, when I have extra energy, I play sports such as soccer, table tennis, volleyball, and tennis etc. I also enjoy travel, sight seeing and computer games.