Ananda Sen is a Research Associate Professor in the Department of Family Medicine and the Department of Biostatistics. He also has an Adjunct Associate Professor appointment in the Department of Statistics. He received his PhD in Statistics from the University of Wisconsin. The main focus of Dr. Sen's research is recurrent event data, analysis of competing risks, accelerated failure-time modeling, and Bayesian methodologies in survival analysis and reliability.. Dr. Sen is an elected member of the International Statistical Institute. He currently serves on the editorial board of the journals Computational Statistics and Data Analysis and Communications in Statistics.
BIOSTAT601: Probability and Distribution Theory
BIOSTAT653: Applied Statistics III: ANOVA and Linear Mixed Models
Ph.D., Statistics, University of Wisconsin, Madison, 1993
M.S., Statistics, Indian Statistical Institute, Calcutta, India, 1987
B.S., Statistics, Indian Statistical Institute, Calcutta, India, 1985
Research Interests & Projects
My primary area of methodological research is analysis of recurrent event data in both biomedical and engineering contexts. I also work in the areas of competing risks, and accelerated failure time modeling. As a faculty in the Department of Family Medicine, I am heavily involved in collaborative projects in a variety of topics including health services research, management of mental health, cancer prevention through behavioral intervention and lifestyle modification. As a biostatistician on the GI SPORE of the University of Michigan Comprehensive Cancer Center, my applied collaborations have focused on studies of biomarker discovery and dietary interventions in gastrointestinal cancers.
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Sen A., Banerjee M., Li Y., Noone A.M. (2010). Bayesian approach to competing risks analysis with masked cause of death Statistics in Medicine, 29(16), 1681-1695.
Sen A., Lee S-Y, Gillespie BW, Kazerooni EA, Goodsitt MM, , Rosenman KD, Lockey JE, Meyer CA, Petsonk EL, Wang ML, Franzblau A. (2010). Comparing film and digital radiographs for reliability of pneumoconiosis classifications: a modeling approach. Academic Radiology, 17(4):, 511-519.
Bandyopadhyay N. and Sen A. (2005). Nonstandard asymptotics in an inhomogeneous gamma process. Annals of Institute of Statistical Mathematics, 57, 703-732.
Basu S., Sen A.,Banerjee M. (2003). Bayesian Analysis of competing risks with partially masked cause of failures Applied Statistics, 52, 77-93.
Sen A. (1998). Estimation of Current Reliability in a Duane-based Reliability Growth Model Technometrics, 40, 334-344.
American Statistical Association
Internationall Biometric Society
International Indian Statistical Association
International Statistical Institute