Indiana University

Wanzhu Tu

Department of Biostatistics
Indiana University School of Medicine
410 West 10th Street, Suite 3000
Indianapolis, IN 46202
Email: wtu1 [at]
Office: (317) 278-6451
Assistant: Laurie Welty (317) 423-5633

University of South Carolina, Ph.D. (Statistics), 1997
Professor of Biostatistics, Department of Biostatistics, Indiana University School of Medicine
Deputy Editor/Statistical Editor, Journal of General Internal Medicine.
My methodological research is in the areas of longitudinal data analysis and semiparametric regression. Much of my work concerns the modeling of specific biological processes. My goal is to use innovative analytical tools to advance our understanding of the pathophysiology and etiology of common diseases. My recent work has appeared in both theoretical and applied statistical journals, including Journal of the American Statistical Association, Biometrics, Journal of the Royal Statistical Society, and Annals of Applied Statistics

My applied work has been funded by the National Institutes of Health (NIH) and Centers for Disease Control & Prevention (CDC). I currently lead an RO1 project studying the functions of sodium retaining hormones in the renin-angiotensin-aldosterone system, as well as their influences on blood pressure. I am also leading two CDC funded epidemiological studies


I have authored or co-authored 135 papers. The following are selected from my most recent publications.
  1. Tu W, Eckert G, Hannon T, Liu H, Pratt L, Wagner MA, DiMeglio L, Jung J, Pratt JH. Racial differences in sensitivity of blood pressure to aldosterone. Hypertension. (in press)
  2. Hua L, Zhang Y, Tu, W. Spline-based semiparametric sieve maximum likelihood method for over-dispersed panel count data. The Canadian Journal of Statistics. (in press)
  3. Wu J; Tu W. Development of a pediatric body mass index using longitudinal single-index models. Statistical Methods in Medical Research. (in press)
  4. Yu Z, Eckert G, Liu H, Pratt JH, Tu W. Adiposity has unique influence on renin-aldosterone axis and blood pressure in black children. Journal of Pediatrics. 2013. 163(5); 1317-1322.
  5. Ho MW, Tu W, Ghosh P, Tiwari R. A Nested Dirichlet Process Analysis of Cluster Randomized Trial Data with Application in Geriatric Care Assessment. Journal of the American Statistical Associations. 2013. 108(501); 48-68.
  6. Tu W, Pratt JH. A Consideration of genetic mechanisms behind the development of hypertension in blacks. Current Hypertension Reports. 2013. 15(2); 108-113
  7. Tu W, Eckert J, Pratt JH, Danser AHJ. Response to "Is high prorenin level related to relative aldosterone excess?". American Journal of Hypertension. 2013. 26(2); 154-155
  8. Liu H, and Tu W. A semiparametric regression model for paired longitudinal outcomes with application in childhood blood pressure development. Annals of Applied Statistics.2012. 6(4), 1861-1882.
  9. Yu Z, Lin X, Tu W. Semiparametric frailty models for clustered failure time data. Biometrics. 2012. 68(2); 429-436.
  10. Tu W. Resampling Methods. Encyclopedia of Environmetrics. A.-H. El-Shaarawi and W. Piegorsch (eds), John Wiley & Sons Ltd: Chichester, UK. DOI: 10.1002/9780470057339.var038.pub2. 2013
  11. Tu W, Eckert G, Pratt JH, Danser AHJ. Plasma levels of prorenin and renin in blacks and whites; their relative abundance and associations with plasma aldosterone concentration. American Journal of Hypertension. 2011. 25(9); 1030-1034.
  12. Tu, W; Ghosh, P; Katz BP. A Stochastic Model for Assessing Chlamydia trachomatis Transmission Risk Using Longitudinally Observational Data. Journal of the Royal Statistical Society, Series A. 2011. 174(4), 975-989
  13. Tu W, Eckert G, DiMeglio LA, Yu Z, Jung J, Pratt JH. Intensified effect of adiposity blood pressure in overweight and obese children. Hypertension. 2011 Nov;58(5):818-24
  14. Kroenke K, Theobald D, Wu J, Norton K, Morrison G, Carpenter J, Tu W.  Effect of telecare management on pain and depression in cancer patients:  a randomized trial.  JAMA-Journal of the American Medical Association  2010;304(2):163-171.
  15. Aalsma M; Tong Y; Wiehe SE; Tu W. The impact of delinquency on young adult sexual risk behaviors and sexually transmitted infections. Journal of Adolescent Health. 2010. 46. 17–24
  16. Tu W, Eckert G, Saha C, Pratt JH. Synchronization of adolescent blood pressure and pubertal somatic growth. Journal of Clinical Endocrinology & Metabolism. 2009 Dec;94(12):5019-22.
  17. Ghosh, P; Tu, W.. Assessing Sexual Attitudes and Behaviors of Young Women: A Joint Model with Nonlinear Time Effects, Time Varying Covariates, and Dropouts. Journal of the American Statistical Associations 2009.104 (486): 474-485.
  18. Yu Z; Tu W; Lee MLT. A semiparametric threshold regression analysis of sexually transmitted infections in adolescent women. Statistics in Medicine. 2009 Oct 30;28(24):3029-42.
  19. Kroenke K, Wu J, Bair MJ, Krebs EE, Damush TM, Tu W. Reciprocal relationship between pain and depression: A 12-month longitudinal analysis in primary care. J Pain. 2011, 12 (9); 964-973
  20. Tu, W; Batteiger BE; Wiehe S; Ofner, S; Van Der Pol, B; Katz BP, Orr DP, Fortenberry, JD.  Time from first intercourse to first sexually transmitted infection diagnoses among adolescent women. Archives of Pediatrics and Adolescent Medicine. 2009. 163(12):1106-11.
  21. Kroenke, K; Bair, MJ; Damush, TM; Wu, JW; Hoke, S; Sutherland, J; Tu, W.. Optimized Antidepressant Therapy and Pain Self-management in Primary Care Patients With Depression and Musculoskeletal Pain A Randomized Controlled Trial. JAMA-Journal of the American Medical Association. 2009. 301 (20): 2099-2110.
Spring 2014. BIOS664 Generalized Linear Models and Longitudinal Data Analysis. See the Oncourse website ( for lecture notes and homework assignments.
Spring 2014. G661. Clinical Trials. Contributed topic: Survival Analysis. See the Oncourse website ( for lecture notes