[1] Murray, T.A., Thall, P.F., and Yuan, Y., “A Bayesian Machine Learning Method for Optimizing Dynamic Treatment Regimes.” Accepted to Journal of American Statistical Association, June 2017.

[2] Murray, T.A., “Ranking Ultimate Teams using a Bayesian Score-Augmented Win-Loss Model.” Accepted to Journal of Quantitative Analysis in Sports, June 2017.

[3]  Murray, T.A., Thall, P.F., and Yuan, Y., “Utility-Based Designs for Randomized Comparative Trials with Categorical Outcomes.” Statistics in Medicine, 35(24):4285-4305, 2016.

[4]  Murray, T.A., Thall, P.F., 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, 112(517):11-23, 2017.

[5]  Murray, T.A., Hobbs, B.P., Sargent, D.J., and Carlin, B.P., “Flexible Bayesian survival modeling with Semiparametric time-dependent and shape-restricted covariate effects.” Bayesian Analysis, 11(2):381-402, 2016.

[6]  Murray, T.A., Hobbs, B.P., and Carlin, B.P., “Combining nonexchangeable functional or survival data sources in oncology using generalized mixture commensurate priors.” Annals of Applied Statistics, 9(3):1549-1570, 2015.

[7]  Street, A., Murray, T.A., Blitzer, J.C., and Patel, R.S., “Estimating Voter Registration Deadline Effects with Web Search Data.” Political Analysis, 23(2):225-241, 2015.

[8]  Murray, T.A., Hobbs, B.P., Lystig, T.C., and Carlin, B.P., “Semiparametric Bayesian commensurate survival modeling with non-exchangeable data sources for post-market medical device surveillance.” Biometrics, 70(1):185-191, 2014.

[9]  Murray, T.A., Carlin, B.P., and Lystig, T.C., “Bayesian adaptive design for device surveillance.” Clinical Trials, 10(1):5-18, 2013.

[10]  Foley, R.N., Gilbertson, D.T.,  Murray, T.A., and Collins, A.J., “Long interdialytic interval and mortality among patients receiving hemodialysis.” The New England Journal of Medicine, 365:1099-1107, 2011.