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

Ph.D. in Statistics, University of South Carolina, 1997
Fellow, American Heart Association
Professor of Biostatistics, Department of Biostatistics, Indiana University School of Medicine
Deputy Editor/Statistical Editor, Journal of General Internal Medicine.

Dr. Tu's methodological research is in the areas of longitudinal data analysis and semiparametric regression. Much of his work concerns the modeling of specific biological processes. Part of his work involves the development of new analytical tools to improve the understanding of pathophysiology and etiology of common diseases. Dr. Tu's recent methodological 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

Dr. Tu is an investigator funded by the National Institutes of Health (NIH) and Centers for Disease Control & Prevention (CDC). He studies the functions of sodium retaining hormones in the renin-angiotensin system, as well as their influences on blood pressure. Dr. Tu is an elected fellow of the American Heart Association (AHA) in recognition of his scientific contributions in hypertension research. He also leads two CDC funded epidemiological studies


Dr. Tu has authored or co-authored 142 papers. The following are selected from his most recent publications.
  1. Tu W. Li S. Resampling Methods. Wiley Statistics Reference Online. (in press) A previous version of the article was published in Encyclopedia of Environmetrics. A.-H. El-Shaarawi and W. Piegorsch (eds), John Wiley & Sons Ltd: Chichester, UK. DOI: 10.1002/9780470057339.var038.pub2. 2013
  2. Li Z, Liu H, Tu W. A sexually transmitted infection screening algorithm based on semiparametric regression models. Statistics in Medicine.2015. 34(20) 2844-2857. 
  3. Hua L, Zhang Y, Tu, W. Spline-based semiparametric sieve maximum likelihood method for over-dispersed panel count data. The Canadian Journal of Statistics. 2014. 42(2); 217-245
  4. He Z, Tu W, Wang S, Fu H, Yu Z. Simultaneous variable selection for joint models of longitudinal and survival outcomes. Biometrics. (in press)
  5. Wu J; Tu W. Development of a pediatric body mass index using longitudinal single-index models. Statistical Methods in Medical Research. (in press)
  6. Tu W. Decker BS, He Z, Erdel BL, Eckert GJ, Hellman RN, Murray MD, Oates JA, Pratt JH. Triamterene enhances the blood pressure lowering effect of hydrochlorothiazide in patients with hypertension. Journal of General Internal Medicine. (in press)
  7. 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.  2014. 63. 1212-1218.[Published with Editorial Commentary: Funder JW. Sensitivity to aldosterone: Plasma levels are not the full story. Hypertension. 2014. 63. 1168-1170] 
  8. Tu W, Wagner EK, Eckert GJ, Yu Z, Hannon T, Pratt JH, He C. Associations of menarche-related gentic variates with pubertal growth in males and females. Journal of Adolescent Health. (in press)
  9. 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.
  10. Teng Y, Kong N, Tu W. Estimating age-dependent per-encounter chlamydia trachomatis acquisition risk via Markov-based state-transition model. Journal of Clinical Bioinformatics. 2014. 4:7.
  11. 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.
  12. Tu W, Pratt JH. A Consideration of genetic mechanisms behind the development of hypertension in blacks. Current Hypertension Reports. 2013. 15(2); 108-113
  13. 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
  14. 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.
  15. Yu Z, Lin X, Tu W. Semiparametric frailty models for clustered failure time data. Biometrics. 2012. 68(2); 429-436.
  16. 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.
  17. 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
  18. 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 [Published with Editorial Commentary: Falkner B, Gidding S. Childhood obesity and blood pressure: Back to the future? Hypertension. 201158: 754-755]
  19. 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.
  20. 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
  21. 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.
  22. 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.
  23. 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.
  24. 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
  25. 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.
  26. 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
Spring 2016. Advanced Generalized Linear Models. 
Recent graduates:
Jingwei Wu. PhD 2015: Multivariate Single Index Regression Models. Temple University 
Zhuokai Li. PhD 2014: Multivariate Semiparametric Regression. Duke University   
Zangdong He. PhD 2014: Variable Selection & Structural Discovery in Joint Models of Longitudinal and Survival Outcomes. GlaxoSmithKline
Graduate students in other disciplines:
Ruijie Huang PhD 2015. Oral Biology, Indiana University School of Dentistry.
Yu Teng. PhD 2013. Biological Engineering, Purdue University

Department of Biostatistics | 410 W. Tenth St., Suite 3000 | Indianapolis, IN 46202 | Ph: (317) 274-2661 | Fax: (317) 274-2678