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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 Publications Officer for the Section of Statistical Computing.


  • Govindarajulu U, Sullivan L, D’Agostino, Sr. RB (2004) “SAS Macros for confidence interval estimation for CHD Risk prediction by different survival models” Computational Data Analysis and Statistics 46(3):  571-592.
  • Govindarajulu US, Spiegelman D, Miller KL, and Kraft P (2006)“Quantifying bias due  to genotyping error in case-control studies of haplotypes”. Genetic Epidemiology 30:  1-12.
  • Govindarajulu US, Glickman ME, and D’Agostino Sr. RB (2007) “Modeling frailty as a function of covariates”. Journal of Statistical Theory and Practice. 1(1) 117-135.
  • Govindarajulu US, Spiegelman D, Thurston SW, Ganguli B, and Eisen EA (2007) “Comparing smoothing techniques for modeling exposure-response curves in Cox Models”. Statistics in Medicine 26(20) 3735-3752.
  • Govindarajulu US, Malloy EJ, Ganguli B, Spiegelman D, and Eisen EA (2009) “The comparison of fitted non-linear exposure-response relationships in Cox models using smoothing methods through simulations” . The InternationalJournal of Biostatistics 5(1): Article 2.
  • TarpeyT, Govindarajulu U, and Petkova E(2009). “Predicting potential placebo effect in   drug treated subjects”. International Journal of Biostatistics 5(1): Article 23.
  • Petkova E., Tarpey T, Lu Y.and Govindarajulu, U (2010). “Optimal Partitioning for Linear Mixed Effects Models: Applications to Identifying Placebo Responders”. JASA 105(491): 968-977.
  • Katz I, Shapiro R, Li D, Govindarajulu U , Thompson B, Watts DH, Hughes M, and TuomalaR. (2010). “ Risk Factors for DetectableHIV-1 RNA at Delivery among Women Receiving Highly Active Antiretroviral Therapy in the Women and Infants Transmission Study”. Journal of AIDS 54(1):27-34.
  • Modak RK, Koullias GJ, Govindarajulu US, Tranquilli M, Barash PG, and Elefteriades JA(2010). “Ascending aortic aneurysms: asymmetrical differences in aortic cross-sectional wall motion detected by epiaortic echocardiography”.   JCardiothorac Vasc Anesth 24(5):776-9.
  • Oei TN, Shyn PB, GovindarajuluU, and Flint R (2010). “Diagnostic medical radiation dose in patients after laparoscopic bariatric surgery.” ObesitySurgery 20(5): 569-573
  • Koyama T, Hackl F, Aflaki P, Bergmann J, Zuhaili B, Waisbren E, Govindarajulu U,
    Yao F, and Eriksson E. (2011). “A new technique of ex vivo gene delivery of VEGF to wounds using genetically modified skin particles promotes wound angiogenesis.” J Am Coll Surg 212(3): 340-8.
  • Clark C, Soukup J, Govindarajulu U , Riden H, Tovar D, and JohnsonP (2011). “Health Reformand Trends in Unmet Medical Need and Use of Preventative Care in Massachusetts”.   HealthAffairs 30(2): 247-55.
  • Park BK, Morrison PR, Tatli S, Govindarajulu US, Tuncali K, Shyn PB, and Silverman
    SG. (2011) “Estimated effective dose of CT-guided percutaneous cryoablation of liver tumors.” Eur J Radiol. 81(8): 1702-1706.
  • 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.
  • Vidi VD, Matheny ME, Govindarajulu US, Normand ST, RobbinsSL, Agarwal VV, BangaloreS, and Resnic FS (2012). Vascular closure device failure in contemporary practice. JACC CardiovascularInterventions 5(8): 837-844.
  • Thomas D, Al-Mallah M, Govindarajulu U, Forman DE, Mora S, Di Carli MF, Dorbala S. (2013). “Value of reserve pulse pressure in improving the risk stratification of patients with normal myocardial perfusion imaging ”. European Heart Journal 34(27):2074-81a.
  • Huang P-H, Araujo GN, Govindarajulu US, Wainstein M, Resnic F, and McCabe J (2013). “Comparison of two risk models in predicting the incidence of constrast-induced nephropathy after PCI”. Journal of the American College of Cardiology 61(10).
  • Arm JP, Boyce J, Wang L, Chhay H, Zahid M, Patil V, Govindarajulu US, Ivester P, Weaver KL, Sergeant S, Israel E, and Chilton FH. (2013). “Impact of botanical oils on polyunsaturated fatty acid metabolism and leukotriene generation in mild asthmatics” Lipids in Health and Disease 12(1):141.
  • Hundal M, Cahill KN, Pedicini R, Crosby-Thompson A, Dutile S, Govindarajulu U, Shenoy K, Dransfield M, DiMango E, Erzurum SC, Castro M, Jarjour NN, Katz H, Boyce JA, Israel E. (2014). “Bronchial Mast Cell Markers and Clinical Asthma Severity In Steroid Refractory Asthmatics” Journal of Allergy and Clinical Immunology 133(2): AB16
  • Horky LL, Gerbaudo VH, Zaitsev A, Plesniak W, Hainer J, Govindarajulu U, Kikinis R, Dietrich J. (2014). “Systemic chemotherapy decreases brain glucose metabolism” Ann Clin Transl Neurol. 1(10):788-98.
  • Kazani S, Arm JP, Boyce J, Chhay H, Dutile S, Wechsler ME, Govindarajulu U, Ivester P, Ainsworth HC, Sergeant S, Chilton FH, Israel E. (2014). “ LTC4 synthase polymorphism modifies efficacy of botanical seed oil combination in asthma”. Springerplus. 3:661
  • 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.
  • Stebbins WG, Gusev J, Higgins HW 2nd, Nelson A, Govindarajulu U, Neel V. (2015)
    Evaluation of patient satisfaction with second intention healing versus primary surgical closure. Journal of the American Academy of Dermatology. 73 (5): 865-867.e1
  • Richdale K, Lam D, Wagner H, Zimmerman A, Kinoshita B, Chalmers R, Sorbara L,
    Szczotka-Flynn L, Govindarajulu U, and Mitchell G. (2015). “Case Control Pilot Study of Soft Contact Lens Wearers with Corneal Infiltrative Events and Healthy Controls.”Investigative Opthamology & Visual Science. 57(1): 47-55.
    Usha Govindarajulu (Page 8 of 13)
  • 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. 4(3): 497-504.
  • Matza D, Badou A, Klemic KG, Stein J, Govindarajulu US, Nadler MJ, Kinet J-P, Peled
    A, Shapira OM, Kaczmarek LK, and Flavell RA (2016) “T Cell Receptor Mediated Calcium Entry Requires Alternatively Spliced Cav1.1 Channels.”PLOS ONE. 11(1): e0147379.
  • Araujo G, Wainstein MV, McCabe JM, Huang P-H, Govindarajulu US, and Resnic FS.
    (2016). “Comparison of two risk models in predicting the incidence of contrast-induced nephropathy after percutaneous coronary intervention”Journal of Interventional Cardiology (accepted).
  • Govindarajulu US. (2016) "Dose response estimation by smoothing and area under the
    curve" Journal of Medical Statistics and Informatics (accepted).

Selected Presentations:

  • “Thecomparison of fitted nonlinear exposure-response relationships in Cox models using smoothing methods through simulations”. Joint Statistical Meetings.  Salt Lake City, UT,August 2007; InternationalConference 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.
  • “MisclassificationProbabilities 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.




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