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Ph.D. (2001)
Texas A&M University

CV

Hua Liang

Associate 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
 

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

Book

Partially Linear Models. Springer Phisica-Verlag, Germany. You can download an e-version here

Dr. Raymond J. Carroll


Selected Publications

  1. Liang, H. and Li, R. Z. (2008). Variable selection and inference in partially linear error-in-variable models. JASA (technical report) accepted.
  2. Liang, H. and Wu, H. L. (2008). Parameter estimation for differential equation models using a framework of measurement error in regression models. JASA, accepted.
  3. Zhou, Y. and Liang, H. (2008). Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates. Annals of Statistics, accepted
  4. Liang, H., Wu, H.L, and Zou, G. H. (2008). A note on conditional AIC for linear mixed-effects models. Biometrika, 773-778.
  5. Liang, H., Thurston, S., Ruppert, D., Apanasovich, T., and Hauser, R. (2008). Additive partial linear models with measurement errors. Biometrika, 667-678.
  6. Li, R.Z. and Liang, H. (2008). Variable selection in semiparametric regression modeling. Annals of Statistics, 36, 261-286.
  7. Liang, H.,Wang, S.J., and Carroll, R. (2007). Partially linear models with missing response variables and error-prone covariates. Biometrika, 94, 185-198.
  8. 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.
  9. Liang, H., Wang, S. J., Robins, J. and Carroll, R. (2004). Estimation in partially linear models with missing covariates. JASA, 99, 357-367.
  10. 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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