Thomas Murray, PhD

Assistant Professor, Division of Biostatistics

Thomas Murray

Contact Info

murra484@umn.edu

Office Phone 612-626-6697

Office Address:
Mayo A459

Mailing Address:
MMC 303 Mayo
420 Delaware St SE
Minneapolis, MN 55455

Assistant Professor, Division of Biostatistics


PhD, Biostatistics, University of Minnesota School of Public Health

MS, Biostatistics, University of Minnesota School of Public Health

BS, Mathematics and Sociology, University of Wisconsin-Madison

Postdoctoral Fellowship, Biostatistics, The University of Texas MD Anderson Cancer Center

Summary

I am interested in the general methodological areas of Bayesian modeling and clinical trial design. In particular, my research pertains to Bayesian methods for incorporating historical data into statistical analyses or clinical trials; utility-based designs for controlled clinical trials with multiple outcomes; and Bayesian methods for optimizing dynamic treatment regimes. I am also interested in the general application areas of cancer treatment and management, diabetes mellitus and end-stage renal disease, and mental health and addiction.

Expertise

Bayesian modeling, Clinical trial design, Dynamic treatment regimes, Evidence synthesis, Time-to-event analysis, Competing risks, Pairwise comparison

Research

Publications

See a full list of publications on Google Scholar

  • Murray, TA, Thall, PF and Yuan, Y, “A Bayesian Machine Learning Method for Optimizing Dynamic Treatment Regimes,” Journal of American Statistical Association, 2017
  • Murray, TA, Thall, PF, Yuan, Y, McAvoy, S and Gomez, D, “Robust Treatment Comparison based on Utilities of Semi-Competing Risks in Non-Small-Cell Lung Cancer,” Journal of the American Statistical Association, 2017
  • Murray, TA, Thall, PF and Yuan, Y, “Utility-Based Designs for Randomized Comparative Trials with Categorical Outcomes,” Statistics in Medicine, 2016
  • Murray, TA, Hobbs, BP, Sargent, DJ and Carlin, BP, “Flexible Bayesian Survival Modeling with Semiparametric Time-Dependent and Shape-Restricted Covariate Effects,” Bayesian Analysis, 2016
  • Murray, TA, Hobbs, BP and Carlin, BP, “Combining Nonexchangeable Functional or Survival Data Sources in Oncology Using Generalized Mixture Commensurate Priors,” Annals of Applied Statistics, 2015

Teaching

Teaching Areas

I teach a in the Biostatistics division at the School of Public Health. 

Courses

  • PubH 8482, Sequential and Adaptive Methods for Clinical Trials