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

CV

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
 

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

  1. Härdle, W., Liang, H., and Gao, J. T. (2000). Partially Linear Models. Springer Phisica-Verlag, Germany. You can download an e-version here
  2. Liang, H. (2008). Related Topics in Partially Linear Models, VDM Verlag, Saarbrucken, Germany.

Dr. Raymond J. Carroll


Selected Publications

  1. Liang, H. and Li, R. Z. (2009). Variable selection for partially linear models with measurement errors. (technical report). JASA, 104, 234-248.
  2. 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.
  3. 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.
  4. Liang, H., Wu, H.L, and Zou, G. H. (2008). A note on conditional AIC for linear mixed-effects models. Biometrika, 95, 773-778.
  5. Liang, H., Thurston, S., Ruppert, D., Apanasovich, T., and Hauser, R. (2008). Additive partial linear models with measurement errors. Biometrika, 95, 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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