Department of Statistics - Donald Bren School of Information & Computer Sciences

Department of Statistics - Donald Bren School of Information & Computer Sciences

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Bin Nan

Professor Bin NanProfessor of Statistics 
2066 Bren Hall
Department of Statistics
University of California at Irvine
Irvine, CA 92697
Phone: (949) 824-2954
Email: nanb@uci.edu

»Download CV


Education:
Ph.D., Biostatistics, University of Washington, 2001

Research Interests:
I am interested in all statistical problems arising from my  collaboration in biomedical research and other fields. I am currently focusing on the development of new methods in the areas of survival  analysis, analysis of high-dimensional brain image data, and analysis of longitudinal data with change-points, terminal events, and variables  subject to limit of detection.

Selected Publications:
Kong S, Nan B, Kalbfleisch JD, Saran R, Hirth R (2017). Conditional modeling of longitudinal data with terminal event. Journal of the American Statistical Association (in press).

Kong S, Nan B (2016). Semiparametric approach to regression with the covariate subject to a detection limit. Biometrika 103, 161-174.

Das R, Banerjee M, Nan B, Zheng H (2016). Fast estimation of regression parameters in a broken-stick model for longitudinal data. Journal of the American Statistical Association 111, 1132-1143.

Foster JC, Nan B, Shen L, Kaciroti N, Taylor JMG (2016). Permutation testing for treatment-covariate interactions and subgroup identification. Statistics in Biosciences 8, 77-98.

Foster JC, Taylor JMG, Kaciroti N, Nan B (2015). Simple subgroup approximations to optimal treatment regimes from randomized clinical trial data. Biostatistics 16, 368-382.

Shu H, Nan B, Koeppe R (2015). Multiple testing for neuroimaging via hidden Markov random field. Biometrics 71, 741-750.

Li Y, Nan B, Zhu J (2015). Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure. Biometrics 71, 354-363.

Ding Y, Nan B (2015). Estimating mean survival time: when is it possible? Scandinavian Journal of Statistics 42, 397-413.

Wang X, Nan B, Zhu J, Koeppe R (2014). Regularized 3D functional regression for brain image data via Haar wavelets. Annals of Applied Statistics 8, 1045-1064.

Kong S, Nan B (2014). Non-asymptotic oracle inequalities for the high-dimensional Cox regression via lasso. Statistica Sinica 24, 25-42.

Teaching:
STATS 200B, Intermediate Probability and Statistical Theory. Winter 2018
STATS 210B, Statistical Methods II: Categorical Data. Winter 2018
STATS 295, Advanced Topics in Survival Analysis. Spring 2018

Professional Affiliations:
American Statistical Association, Fellow
Institute of Mathematical Statistics, Fellow
International Chinese Statistical Association
International Statistical Institute, Elected Member
Organization for Human Brain Mapping

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