Research Programs: Cancer Outcomes and Survivorship, Prevention & Etiology
Associate Professor, Department of Biostatistics

baner009@umn.edu
612-624-0624 — office

Dr. Banerjee received his Ph.D. (2000) and M.S. (1998) in statistics from the Department of Statistics at the University of Connecticut. He received his M.Stat. from the Indian Statistical Institute Calcutta and a B.Sc. (honours) from Presidency College, Calcutta.

Research Interests

Dr. Banerjee's interests focus on statistical modelling and analysis of geographically referenced datasets, Bayesian statistics (theory and methods), interface between statistics and Geographical Information Systems, and statistical computing. In particular, he is working on general classes of survival models and cure models, which are appropriate for analyzing datasets that show a significant portion of cure among subjects. He also extends some of these models to accommodate spatial associations of different types, as is common in disease mapping with GIS. He is collaborating with researchers in Health Sciences Research Policy and Administration and in Environmental Health Sciences.

Selected Publications

Finley, A.O., Banerjee, S., Waldmann, P. and Ericsonn, T. (2008). Hierarchical spatial modelling of additive and dominance genetic variance for large spatial trial datasets. Biometrics (in press).

Banerjee, S., Gelfand, A.E., Finley, A.O. and Sang, H. (2008). Gaussian predictive process models for large spatial datasets. Journal of the Royal Statistical Society Series B, 70, 825--848.

Finley, A.O., Banerjee, S., Ek, A.R. and McRoberts, R. (2008). Bayesian multivariate process modeling for predicting forest attributes. Journal of Agricultural, Biological and Environmental Statistics, 13, 1-24.

Jin, X., Banerjee, S. and Carlin, B.P. (2007). Order-free coregionalized lattice models with application to multiple disease mapping. Journal of the Royal Statistical Society Series B, 69, 817-838.

Cooner, F., Banerjee, S., Carlin, B.P. and Sinha, D. (2007). Flexible Cure Rate Modelling Under Latent Activation Schemes. Journal of the American Statistical Association, 102, 560-572.

Banerjee, S. and Johnson, G.A. (2006). Coregionalized Single- and Multi-Resolution Spatially-Varying Growth Curve Modelling with Application to Weed Growth. Biometrics, 61, 617-625.

Banerjee, S. and Gelfand, A.E. (2006). Bayesian Wombling: Curvilinear Gradients Assessment Under Spatial Process Models. Journal of the American Statistical Association 101, 1487--1501.

Jin, X., Carlin B.P., and Banerjee, S. (2005). Generalized hierarchical multivariate CAR models for areal data. Biometrics, 61, 950-961.

Banerjee, S., Wall, M. and Carlin, B.P. (2003). "Frailty Modelling for Spatially Correlated Survival Data with Application to Infant Mortality in Minnesota". Biostatistics, 4:123-142.