Donglin Zeng

• 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

• Research Interest

  My current interest is theoretical development on semiparametric inference and high dimensional data, with particular application to survival data and longitudinal data in biomedical studies. I also work on coupling likelihood-based methods with problems in some genetic fields. Other applied areas I involve include statistical analysis of angiography images, breast cancer image diagnostics, cancer survival and AIDS studies.
  Some recent work can be found in my curriculum vitae.
  Some algorithms and codes related to my research are also available but not user-friendly yet.
  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 Assoication, 2008.
  
  

• 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

• Other Things about Me

  Well, if 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. But now I wish I could do so many things, because of ......