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Naisyin Wang

Professor of Statistics and Biostatistics


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

Phone: 734-763-2052
Fax: 734-763-4676
Email:nwangaa@umich.edu
Website: http://www.stat.lsa.umich.edu/~nwangaa


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

Statistics 500

Education

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

Editorial Boards

Biostatistics
Journal of American Statistics Association
Statistics In Interface

Professional Societies

Fellow of the Institute of Mathematical Statistics
Fellow of American Statistical Association
Elected member of 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.

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