Education

• Ph.D., Statistics, Cornell University, 1992
• M.A., Statistics, Ohio State University, 1987
• B.S., Mathematics, National Tsing-Hua University, Taiwan, 1986

Honor

• NIH FIRST award, 1997.
• Fellow, Institute of Mathematical Statistics, elected 2006.
• Fellow, American Statistical Association, elected 2001.
• Texas A&M University Faculty Fellow, 2001-2005.
• Distinguished Achievement Award in Research, Texas A&M University Association of Former Students, 2003.
• Elected member, International Statistical Institute, elected 2003.

Research Interest

• Non- and Semiparametric Modeling
• Longitudinal Data Analysis
• Measurement Error Models
• Missing Data Issues
• Bioinformatics
• Clustering
• Nonlinear Mixed Effect Models
• Weighting and Transformation in Regression
• Applications in Biological and Medical Fields

Selected Publications (2000 - Present)

• Ma, Y., Chiou, J.M. and Wang, N. (2005) Efficient semiparametric estimator for heteroscedastic partially linear models. Biometrika, in press.
• Wang, N., Carroll, R.J. and Lin, X. (2005) Efficient semiparametric marginal estimation for longitudinal/clustered data. JASA, 147-157.
• Liang, H. and Wang, N. (2005) Large sample theory in a semiparametric partially linear errors-in-variables model. Statistica Scinica, 99-117.
• Hu, Z., Wang, N. and Carroll, R.J. (2004) Profile-Kernel versus Backfitting in the Partially Linear Models for Longitudinal/Clustered Data. Biometrika, 91, 251-262.
• Lin, X., Wang, N., Welsh, A. and Carroll, R. J. (2004) Equivalent Kernels of Smoothing Splines in Nonparametric Regression for Clustered Data. Biometrika, 91, 177-193.
• Wang, N. (2003) Marginal Nonparametric kernel regression accounting for within-subject correlation Biometrika, 90, 43-52.
• Wang, N. and Raftery, A.E. (2002) Robust covariance estimation via nearest neighbor cleaning. JASA, (with discussion) 97, 994-1006, Rejoinder, 1016-1019.
• Nguyen, D.V., Arpat, A.B., Wang, N. and Carroll, R.J. (2002) DNA microarray experiments: biological and technological aspects. Biometrics, 58, 701-717.
• Cheng, S.C. and Wang, N. (2001) Linear transformation models for failure time data with covariate measurement error. JASA , 96, 706-717.
• Morris, J.S., Wang, N., Lupton, J.R., Chapkin, R.S., Turner, N.D., Hong, M.Y. and Carroll, R.J. (2001) Parametric and nonparametric methods for understanding the relationship between carcinogen-induced DNA adduct levels in distal and proximal regions of the colon. JASA, 96, 816-827.
• Robins, J.M. and Wang, N. (2000) Inference in imputation estimators. Biometrika, 87, 113-124.
• Wang, C.Y., Wang, N. and Wang, S. (2000) Regression analysis when covariates are regression parameters of a random effect model. Biometrics, 56, 487-496.

Software

• covRobust: R package for robust covariance matrix estimation using nearest neighbor cleaning. This implements the methods in the paper Nearest Neighbor Variance Estimation (NNVE): Robust Covariance Estimation via Nearest Neighbor Cleaning (with Discussion), by Wang and Raftery (2002, Journal of the American Statistical Association).

Miscellanea

• My Ph.D. dissertation adviser, David Ruppert
  
• Epidemiology and Statistics in Equine Research
  
• Faculty of Toxicology
  
• The Center for Environmental and Rural Health at Texas A&M University
  

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