Professor of Statistics
2066 Bren Hall
Department of Statistics
University of California at Irvine
Irvine, CA 92697
Phone: (949) 824-2954
Ph.D., Biostatistics, University of Washington, 2001
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.
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.
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
American Statistical Association, Fellow
Institute of Mathematical Statistics, Fellow
International Chinese Statistical Association
International Statistical Institute, Elected Member
Organization for Human Brain Mapping