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SUNY Downstate Medical Center

School of Public Health

Photo of Usha Govindarajulu

Usha Govindarajulu, PhD, MS

Assistant Professor

Department of Epidemiology and Biostatistics

Tel: (718) 221-6599 • Fax: (718) 221-5157


Academic Qualifications:
  • Post-Doctoral: Harvard University, School of Public Health
  • PhD: Boston University
  • MS: George Washington University
Background and Expertise:

Dr. Usha Govindarajulu is an Assistant Professor of Biostatistics. She received her PhD in Biostatistics from Boston University, her MS in Biostatistics from George Washington University, and her AB from Cornell University. She also did her post-doctoral work in Biostatistics at Harvard School of Public Health.

Dr. Govindarajulu's major statistical research interests are in survival analysis, frailty models, smoothing, genetic epidemiology, and non-parametrics. Her area of medical expertise is in cardiology, allergy and immunology, radiology, and translational research.

She is an Associate Editor of Computational Statistics. She is also a member of the American Statistical Association and is currently Program Chair-Elect for the Section of Statistical Computing.


Public health minute:

BBC interview:

Marquis Who’s Who 2018:

My main contribution to science is in the area of survival analysis and frailty models. This has been my main area of investigation from my doctoral work. My selected publications highlight this area of research.

  • Govindarajulu, U.S., Spiegelman, D., Thurston, S.W., Ganguly, B., and Eisen, E.A. (2007) Comparing smoothing techniques for modeling exposure-response curves in Cox Models. Statistics in Medicine 26(20) 3735-3752.
  • Govindarajulu, U.S., Malloy, E.J., Ganguli, B., Spiegelman, D., and Eisen, E.A. (2009) The comparison of fitted non-linear exposure-response relationships in Cox models using smoothing methods through simulations. International Journal of Biostatistics 5(1): Article 2. PMC2827890
  • Govindarajulu US, Lin H, Lunetta KL, and D'Agostino, Sr. RB (2011) "Frailty models: Applications to biomedical and genetic studies". Statistics in Medicine 30(22): 2754-64.
  • Govindarajulu US. (2016) "Dose response estimation by smoothing and area under the curve" Journal of Medical Statistics and Informatics 4(7):

My other contribution in terms of applied work is in applications to cardiology and allergy/immunology. I have a background of research in immunology since high school so have a good biological understanding of the processes and also I first started my niche in cardiology through the Framingham Heart Study when I was doing my doctoral work. The publications below show my ongoing interests.

  • Vidi VD, Matheny ME, Govindarajulu US, Normand ST, Robbins SL, Agarwal VV, Bangalore S, and Resnic FS (2012). Vascular closure device failure in contemporary practice. JACC Cardiovascular Interventions 5(8): 837-844.
  • Govindarajulu US and Malloy EJ. (2015). "Evaluating treatment effect in multicenter trials with small centers using survival modeling." International Journal of Statistics in Medical Research 4: 8-25.
  • Sloane D, Govindarajulu U, Harrow-Mortelliti J, Barry W, Hsu FI, Hong D, Laidlaw T, Palis R, Legere H, Bunyavanich S, Breslow R, Wesemann D, Barrett N, Brennan P, Chong HJ, Liu A, Fernandez J, Fanning L, Kyin T, Cahill K, Bankova L, Lynch A, Berlin S, Campos S, Fuchs C, Mayer R, Matulonis U, and Castells M. (2016) "Safety, Costs, and Efficacy of Rapid Drug Desensitizations to Chemotherapy and Monoclonal Antibodies" JACI: In Practice (in press)
  • Govindarajulu US, Matheny M, Goldfarb D, Stillo M, and Resnic F (2017) "Learning curve estimation in medical devices and procedures: hierarchical modeling" Statistics in Medicine 36: 2764-2785.
  • For a Complete List of Published Work »
Selected Presentations:
  • "The comparison of fitted nonlinear exposure-response relationships in Cox models using smoothing methods through simulations". Joint Statistical Meetings. Salt Lake City, UT,August 2007; International Conference on Advances in Interdisciplinary Statistics and Combinatorics (AISC). Greensboro, NC,October 2007; International Biometric Society Eastern North American Region. San Antonio, TX, March 2009; Invited presentation in Statistics Department, University of Kentucky. Lexington, KY. October 2009.
  • "Testing small center events in multicenter trials using survival modeling". Joint Statistical Meetings. Vancouver, Canada, August 2010.
  • "Misclassification Probabilities of n-fold Random Samples". Joint Statistical Meetings. Miami, Florida, August 2011.
  • "Frailty models: Applications to biomedical and genetic studies". University of Nevada, Las Vegas, Statistics Dept, November 2014
  • Evaluating Treatment Effect in Multicenter Trials with Small Centers Using Survival Modeling"Joint Statistical Meetings. Seattle, WA, August 2015; Symposium on Statistical and Computational Methods for Pharmacogenetic Epidemiology of Cancer. Memorial Sloan-Kettering, New York, NY August 2016.
  • "Statistical methods for dose-response estimation and implications for public health" SUNY Downstate Brooklyn Health Disparities Seminar. October 2016.
  • "Learning curve estimation in medical devices and procedures: hierarchical modeling" Joint Statistical Meetings, Baltimore, Maryland, August 2017