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Robert L. Strawderman, ScD

Robert StrawdermanDepartment Chair
Donald M. Foster, MD Distinguished Professor of Biostatistics

Contact Information

University of Rochester
Dept of Biostatistics and Computational Biology
265 Crittenden Blvd., CU 420630
Rochester, New York 14642-0630

Office: Saunders Research Building 4122
Phone: (585) 275-6688
Fax: (585) 273-1031

Research Interests

My major research area is survival analysis. More generally, I am interested in semiparametric methods for missing and censored data; statistical learning methods for risk and outcome prediction in medicine, epidemiology and public health; statistical and computational methods for high dimensional data; statistical methods for evaluating the cost and quality of health care; and, applications in cancer, psychiatry (e.g., suicide) and neurological disease (e.g., Huntington’s Disease).

Selected Publications

Statistical Methods

  • Cho Y, Molinaro AM, Hu C., Strawderman RL (2022). Regression Trees and Ensembles for Cumulative Incidence Functions. International Journal of Biostatistics, to appear.
  • Ertefaie A, Strawderman RL (2021). Robust Q-Learning. Journal of the American Statistical Association, 116, 368-381.
  • Rice J, Strawderman RL, Johnson BA (2019). Modeling the rate of HIV testing from repeated binary data amidst potential never-testers. Biostatistics, 20, 183-198.
  • Liu L, Shih Y, Strawderman RL, Zhang D, Johnson BA, Chai H (2019). Statistical Analysis of Zero-inflated Non-negative Continuous Data: a Review. Statistical Science, 34, 253-279.
  • Steingrimsson J, Diao L, Strawderman RL (2019).  Censoring unbiased regression trees and ensembles.  Journal of the American Statistical Association, 114, 370-383.
  • Ertefaie A, Strawderman RL (2018). Constructing dynamic treatment regimes over indefinite time horizons. Biometrika, 105, 963-977.
  • Rice J, Strawderman RL, Johnson BA (2018). Regularity of a renewal process estimated from binary data. Biometrics, 74, 566-574. (Best Paper in Biometrics for 2018).
  • Olshen AB, Strawderman RL, Rysilk G, Lostritto K, Arnold AM, Molinaro AM (2018). Novel aggregate deletion /substitution/ addition learning algorithms for recursive partitioning.  Journal of Computational Graphical Statistics, 27, 146-156.
  • Steingrimsson JA, Strawderman RL (2017). Estimation in the semiparametric accelerated failure time model with missing covariates: improving efficiency through augmentation. Journal of the American Statistical Association, 519: 1221-1235.
  • Steingrimsson JA, Diao L, Molinaro AM, Strawderman RL (2016). Doubly Robust Survival Trees, Statistics in Medicine, 35, 3595-3612.


  • Desa DE, Strawderman RL, Wu W, Hill RL, Smid M, Martens JWM, Turner BM;, Brown EB (2020). Intratumoral heterogeneity of second-harmonic generation scattering from tumor collagen and its effects on metastatic risk prediction. BMC Cancer, 20(1):1217.
  • Desa D, Bhanote M, Hill R, Majeski J, Buscaglia B, D’Aguiar M, Strawderman RL, Hicks D, Turner B, Brown E (2019). Second-Harmonic Generation Directionality is Associated with Neoadjuvant Chemotherapy Response in Breast Cancer Core Needle Biopsies. Journal of Biomedical Optics, 24, 086503-1 – 086503-9.
  • Kutyifa V., Rice J, Jones R, Mathias A, Yoruk A, Vermilye K, Johnson BA, Strawderman RL, Lowenstein C (2018). Impact of Non-Cardiovascular Disease Burden on Thirty-Day Hospital Readmission in Heart Failure Patients. Cardiology Journal, 25, 691-700.
  • Vidula H, Kutyifa V, Johnson BA, Strawderman RL, Harrington D, Papernov A, Alexis, JD (2018). Readmission Patterns During Long-Term Follow-up After Left Ventricular Assist Device Implantation. American Journal of Cardiology, 122, 1021-2017.
  • Lamberti JS, Weisman RL, Cerulli C, Williams GC, Jacobowitz D, Mueser KT, Elliott J, Marks P, Strawderman RL, Harrington D, Lamberti TA, Caine ED (2017).  A Randomized Controlled Trial of the Rochester Forensic Assertive Community Treatment Model. Psychiatric Services, to appear.