Naisyin Wang

Naisyin Wang

Professor of Statistics

445E West Hall
Department of Statistics
University of Michigan
1085 S. University
Ann Arbor, MI 48109-1107

Phone:(734)-763-2052
Fax: (734)-763-4676
E-Mail: nwangaa@umich.edu
Website: http://www.stat.lsa.umich.edu/faculty/


Research Interests

Longitudinal Data Analysis, Model Based Clustering, Measurement Error Models, Mixed Effects Models, Missing Data Issues, Non- and Semiparametric Modeling, Applications in Biological and Medical Fields.

Courses Taught

Stat 500, Applied Statistics I


Education

Ph.D., 1992 (statistics); Cornell University

MAS, 1987 (statistics); Ohio State University

BS, 1986 (mathematics); National Tsing-Hua University, Taiwan


Professional Societies

Fellow of the American Statistical Association
Fellow of the Institute of Mathematical Statistics
Elected Member of the International Statistical Institute



Selected Publications

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

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

Cheng, S.C. and Wang, N. (2001) Linear transformation models for failure time data with covariate measurement error. JASA , 96, 706-717

Nguyen, D.V., Arpat, A.B., Wang, N. and Carroll, R.J. (2002) DNA microarray experiments: biological and technological aspects. Biometrics, 58, 701-717

Wang, N. and Raftery, A.E. (2002) Robust covariance estimation via nearest neighbor cleaning. JASA, (with discussion) 97, 994-1006, Rejoinder, 1016-1019

Wang, N. (2003) Marginal Nonparametric kernel regression accounting for within-subject correlation Biometrika,90, 43-52

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., 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

Ma, Y., Chiou, J.M. and Wang, N. (2006) Efficient semiparametric estimator for heteroscedastic partially linear models. Biometrika, 93, 75-84

Liang, F., Liu, C. and Wang, N. (2007) A sequential Bayesian procedure for differential gene expression. Statistica Sinica,17, 571-598

Li, E., Wang, N. and Wang, N.Y. (2007) Joint models for a primary endpoint and multivariate longitudinal data. Biometrics,63, 1068-1078

Li, Y., Wang, N, Hong, M, Turner, N., Lupton, J. and Carroll. R. J. (2007). Nonparametric estimation of correlation functions in spatial and longitudinal data, with application to colon carcinogenesis experiments. Annals of Statistics,35, 4, 1608-1643


Awards

2003 Distinguished Achievement Award in Research, Association of Former Students,Texas A&M University

2002 Journal of American Statistical Association invited discussion paper

1997-2002 NIH FIRST award

1997 Journal of American Statistical Association Editor's invited paper in JSM 1997