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Sanjib Basu, PhD |
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| Last Name: | Basu | |
| First Name: | Sanjib | |
| M. I.: | ||
| Degree & Certifications: | PhD | |
| Endowed Professorship: | ||
| Rank & Title: | Visiting Professor | |
| Department: | Preventive Medicine | |
| College: | Graduate College | |
| Office Location: | 1700 W. Van Buren St. Triangle Office Building Ste. 470 Chicago, IL 60612 | |
| Laboratory Location: | ||
| Phone: | (312) 563-2723 | |
| Fax: | ||
| E-mail: | sanjib_basu@rush.edu | |
| Education: | PhD, Purdue University, Statistics, 1991 M. Stat, Indian Statistical Institute, Statistics, 1987 B. Stat Honors, Indian Statistical Institute, Statistics, 1985 | |
| Research Areas: | ||
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| Faculty/Staff Description: | Sanjib Basu is a Visiting Professor of Statistics. His methodological research interests in statistics include Bayesian modeling and analysis with applications in meta-analysis, cancer survival data as well as actuarial and reliability applications. His collaborative work in biomedicine includes cancer biomarkers, cancer progression and survival, psychosocial and behavioral interventions and meta-analysis in heart failure. He obtained his Ph.D. degree in Statistics from Purdue University and M.Stat. and B.Stat. degrees from Indian Statistical Institute. He is an elected member of the International Statistical Institute and is currently Associate Editor of two journals in Statistics. His methodological research has been and is supported by grants from NSF and NIH. Expertise and Interests Applications of statistics in biomedicine and bioinformatics, methodological development in Bayesian statistics, survival analysis, competing risks, analysis of data from cancer studies and SEER, meta analysis, analysis of data from epidemiological studies, missing data, analysis of longitudinal data. Ongoing Research Competing risks and cure fraction models for survival data from SEER, joinpoint models for analyzing and predicting cancer rates, nonparametric Bayesian models, joint modeling of longitudinal and missing data, missing data in cross-over trial. |
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