Faculty Profile

Ananda  Sen, PhD

Ananda Sen, PhD

  • Lee A. Green Collegiate Research Professor, Department of Biostatistics
  • Research Professor, Department of Family Medicine
  • 1018 Fuller Street
  • Ann Arbor, Michigan Ann Arbor, MI 48104

Dr. Sen is the Lee A Green Collegiate Research Professor at the University of Michigan. He holds research professor titles in the departments of Family Medicine and Biostatistics. He is a fellow of the American Statistical Association and an elected member of the International Statistical Institute. He has an established career record as a statistician with over 170 publications in peer-reviewed journals and invited book chapters. He has methodological expertise in the areas of competing risks, analysis of recurrent event data, and measuring inter-rater agreement, topics which have a range of applications in engineering and medical Sciences. Dr. Sen has extensive collaborative experience in cancer prevention and biomarker research with diet and disease endpoints. He has served as the director of the Biostatistics Core in the NCI funded Specialized Program on Research Excellence in GI Cancer at the University of Michigan. He serves as the Book Review Editor for the journal International Statistical Review. He has served on the editorial board of the journals Communications in Statistics, and Computational Statistics and Data Analysis, and as the statistics co-editor for the American Journal of Preventive Medicine. In the past, he has also served as an expert panelist for the Committee on National Statistics (CNSTAT), in the National Academy of Sciences.

  • PhD, Statistics, University of Wisconsin, Madison, 1993
  • M.S., Statistics, Indian Statistical Institute, Calcutta, India, 1987
  • B.S., Statistics, Indian Statistical Institute, Calcutta, India, 1985

  • 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, accelerated failure time modeling, and agreement measures as it pertains to biomarker research. 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 primary biostatistician supporting the work of the GI oncology group at the University of Michigan Rogel Cancer Center, my applied collaborations have focused on studies of biomarker discovery and dietary interventions in gastrointestinal cancers.

  • Sen A, Banerjee M, Li Y, Noone AM. A Bayesian approach to competing risks analysis with masked cause of death. Stat Med, 29(16):1681-95, 2010.  

  • Sen A, Lee S-Y, Gillespie BW, Kazerooni EA, Goodsitt MM, Rosenman KD, Lockey JE, Meyer CA, Petsonk EL, Wang ML, Franzblau A. Comparing film and digital radiographs for reliability of pneumoconiosis classifications: A modeling approach. Acad Radiol, 17(4):511-19, 2010.

  • Sen A, Ren J, Ruffin MT, Turgeon DK, Brenner DE, Sidahmed E, Rapai ME, Cornellier ML, Djuric, Z. Relationships between serum and colon concentrations of carotenoids and fatty acids in randomized dietary intervention trial. Cancer Prev Res, 6(6):558-65, 2013.  PMCID: PMC4021591

  • Fries A, Cherry P, Easterling, R, Elsayed E, Huzurbazar, A, Jacobs P, Meeker WQ, Nagappan N, Pecht M, Sen A, Van Der Weil S; for the Panel on Reliability Growth Methods for Defense Systems, On behalf of Panel on Reliability Growth Methods for Defense Systems. Reliability Growth: Enhancing Defense System Reliability. National Research Council.Committee on National Statistics, Division of Behavioral and Social Sciences and Education.  Washington, DC: The National Academy Press, 2014. 

  • Samboonsavatdee A, Sen A. Statistical inference for power law process with competing risks. Technometrics, 57(1):112-22, 2015.

  • Somboonsavatdee A, Sen A. Parametric inference for multiple repairable systems under dependent competing risks. Appl Stoch Models Bus Ind, 31(5):706-20, 2015.

  • Satagopan JM, Sen A, Zhou Q, Qing L, Rothman N, Langseth H, Engel LS. Bayes and empirical Bayes methods for reduced rank regression models in matched case-control studies. Biometrics, 72(2):584-95, 2016. PMCID: PMC4870158

  • Zick SM, Sen A, Wyatt GK, Murphy SL, Arnedt JT, Harris RE. Investigation of 2 types of self-administered acupressure for persistent cancer-related fatigue in breast cancer survivors: a randomized clinical trial. JAMA Oncol, 2(11):1470-76, 2016. 

  • Jimbo M, Sen A, Plegue MA, Hawley ST, Kelly-Blake K, Rapai M, Zhang M, Zhang Y, Xie X, Ruffin MT. Interactivity in a decision aid? Findings from a Decision Aid to Technologically Enhance Shared Decision Making RCT. Am J Prev Med, 57(1):77-86, 2019. 

  • Boonstra, PS, Barbaro, RP, Sen A. Default Priors for the Intercept Parameter in Logistic Regressions. Comput Stat Data Anal, 133: 245-256, 2019.

  • American Statistical Association
  • Internationall Biometric Society
  • International Indian Statistical Association
  • International Statistical Institute