Donglin Zeng
Associate Professor
Department of Biostatistics
School of 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
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 ......