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Ph.D. (2001)
Texas A&M University
CV
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Hua Liang
Professor of Biostatistics
Contact Information:
- University of Rochester
Dept of Biostatistics and Computational Biology
601 Elmwood Avenue Box 630
Rochester, New York 14642
Office: Lattimore Medical Bldg 102
Phone: (585) 241-0704
Fax: (585) 256-2541
E-mail: hliang@bst.rochester.edu
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Associate Editor of JASA
Research Interests
- Partially Linear Models
- Longitudinal Data Analysis
- Measurement Error Models
- Nonparametric and Semiparametric Regression
- Variable Selection
- Empirical Likelihood
- Nonlinear and Nonparametric Mixed Effect Models
- HIV/AIDS Clinical Trial and Dynamic Modeling
Books
- Härdle, W., Liang, H., and Gao, J. T. (2000). Partially Linear Models. Springer Phisica-Verlag, Germany. You can download an e-version here
- Liang, H. (2008). Related Topics in Partially Linear Models, VDM Verlag, Saarbrucken, Germany.
Dr. Raymond J. Carroll
Selected Publications
- Liang, H. and Li, R. Z. (2009). Variable selection for partially linear models with measurement errors. (technical report). JASA, 104, 234-248.
- Zhou, Y. and Liang, H. (2009). Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates. Annals of Statistics, 37, 427-458.
- Liang, H. and Wu, H. L. (2008). Parameter estimation for differential equation models using a framework
of measurement error in regression models. JASA, 103, 1570-1583.
- Liang, H., Wu, H.L, and Zou, G. H. (2008). A note on conditional AIC for linear mixed-effects
models. Biometrika, 95, 773-778.
- Liang, H., Thurston, S., Ruppert, D., Apanasovich, T., and Hauser, R. (2008). Additive partial linear
models with measurement errors. Biometrika, 95, 667-678.
- Li, R.Z. and Liang, H. (2008). Variable selection in semiparametric regression modeling. Annals of Statistics, 36, 261-286.
- Liang, H.,Wang, S.J., and Carroll, R. (2007). Partially linear models with missing response variables
and error-prone covariates. Biometrika, 94, 185-198.
- Zhou, Y. and Liang, H. (2005). Empirical-likelihood-based
semiparametric inference for the treatment
effect in the two-sample problem with censoring. Biometrika,
92, 271-282.
- Liang, H., Wang, S. J., Robins, J. and Carroll, R. (2004).
Estimation in partially linear models with missing covariates. JASA,
99, 357-367.
- Liang, H., Härdle, W. and Carroll,
R. J. (1999). Estimation in a semiparametric
partially linear errors-in-variables model. Annals
of Statistics, 27.
1519-1535.
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