Dipankar Bandyopadhyay
Professor, Department of Biostatistics,
School of Population Health, Virginia
Commonwealth University
Phone: 804.827.2058
Fax: 804.828.8900
Email: dbandyop@vcu.edu
I
am a professor in the Department
of Biostatistics, School of Population Health,
at the Virginia
Commonwealth University. I am also Sr. Advisor of Data & Cancer Modeling, and Core Member, Biostatistics
Shared Resources, at the VCU Massey
Comprehensive Cancer
Center.
My primary research interests are in spatial/spatio-temporal modeling, survival analysis, non-Gaussian regression, tensor regression, non-Euclidean regression, correlated/longitudinal data, nonparametric methods, precision health, and also their applications to problems in epidemiology and behavioral studies. I usually search for a pragmatic solution to my statistical modeling problems, which can either follow the Bayesian paradigm, or rely on frequentism. Recently, I am remaining very excited to work on 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 and caries progression via studies mostly funded by the NIH/NIDCR. Other clinical research interests include cancer, organ transplantation (kidney, heart, etc), cardiovascular disease, substance abuse and alcohol addiction, medical imaging, and neurological disorders.
You may find my NIH RePORTER profile here
Representative
publications:
[* = a student author, when research was
conducted]My primary research interests are in spatial/spatio-temporal modeling, survival analysis, non-Gaussian regression, tensor regression, non-Euclidean regression, correlated/longitudinal data, nonparametric methods, precision health, and also their applications to problems in epidemiology and behavioral studies. I usually search for a pragmatic solution to my statistical modeling problems, which can either follow the Bayesian paradigm, or rely on frequentism. Recently, I am remaining very excited to work on 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 and caries progression via studies mostly funded by the NIH/NIDCR. Other clinical research interests include cancer, organ transplantation (kidney, heart, etc), cardiovascular disease, substance abuse and alcohol addiction, medical imaging, and neurological disorders.
You may find my NIH RePORTER profile here
- *Lee I, Mai Q, Sinha D, Zhang X, and Bandyopadhyay D (2023+). Bayesian regression analysis of skewed tensor responses, (Accepted), Biometrics [Dr. Lee received the 2021 IMS Hannan Student Travel Award for this paper]
- Bakoyannis G and Bandyopadhyay D. (2022). Nonparametric tests for multistate processes with clustered data, Annals of the Institute of Statistical Mathematics, 74, 837-867
- *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]
- 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
- 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
- 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 [Joint first-authored]
- *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]
