Dipankar Bandyopadhyay

Professor, Department of Biostatistics,
School of Medicine, Virginia Commonwealth University

One Capitol Square, Room # 737
830 East Main Street
PO Box 980032
Richmond, VA 23298-0032

:     804.827.2058
Fax:         804.828.8900
dbandyop at vcu dot edu
bandyop at vcuhealth dot org
                                          @ Vancouver, BC (Canada); circa 2018         

I am a professor in the Department of Biostatistics, School of Medicine at the Virginia Commonwealth University. I am also an Associate Member and Senior Advisor, Data and Cancer Modeling, Biostatistics Shared Resources,VCU Massey Cancer Center.

My primary research interests are in spatial and spatio-temporal data analysis, survival analysis, non-Gaussian regression, clustered/correlated data, longitudinal data, nonparametric methods, precision medicine, and also their applications to problems in epidemiology and behavioral studies. I am recently getting very interested working with electronic health records and observational data generated under a practice-based setting. My major clinical interest is in oral and craniofacial epidemiology, in particular, investigating periodontal health status and progression studies mostly funded by the NIH/NIDCR. Other clinical research interests include cancer, organ transplantation (kidney, liver, etc), diabetes, substance abuse and alcohol addiction, medical imaging, and neurological disorders.  

Representative Publications:  [* = a student author, when research was conducted]
  1. *Guan Q, Reich BJ, Laber E and Bandyopadhyay D. (2020). Bayesian nonparametric policy search with applications to periodontal recall intervals, Journal of the American Statistical Association - Applications & Case Studies,  105(531), 1066-1078  [Won ASA's 2021 award for Outstanding Statistical Application]
  2. Wu X, Guan T, Liu DJ, Leon-Novelo LG and Bandyopadhyay D. (2018). Optimal burden test for associations between quantitative traits and genotype data with bi-directional correlations, The Annals of Applied Statistics, 12(3), 1558-1582
  3. Jin I-H, Yuan Y and Bandyopadhyay D. (2016). A Bayesian hierarchical spatial model for dental caries assessment using non-Gaussian Markov random fields, The Annals of Applied Statistics, 10(2), 884-905
  4. Bandyopadhyay D and Canale A. (2016). Nonparametric spatial models for clustered ordered periodontal data, Journal of the Royal Statistical Society - Series C, 65(4), 619-640 
  5. Reich BJ, Bandyopadhyay D and Bondell H. (2013). A nonparametric spatial model for periodontal data with non-random missingness, Journal of the American Statistical Association - Applications & Case Studies, 108, 820-831 
  6. *Boehm L, Reich BJ and Bandyopadhyay D. (2013). Bridging conditional and marginal shapes for spatially-referenced binary data, Biometrics, 69(2), 545-554 [Dr. Boehm won the prestigious 2013 ENAR John Van Ryzin award for this paper]
  7. Reich BJ, Bandyopadhyay D. (2010). A latent factor model for spatial data with informative missingness, The Annals of Applied Statistics, 4(1), 439-459
  8. Bandyopadhyay D, Sinha D, Lipsitz S, Letourneau E. (2010). Changing approaches of prosecutors towards juvenile repeated sex-offenders: A Bayesian evaluation, The Annals of Applied Statistics, 4(2), 805-829
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