Publications

Steingrimsson, J.A., Diao, L., & Strawderman, R. L. Censoring Unbiased Regression Trees and Ensembles. Journal of the American Statistical Association. (In Press).

Hu, C., & Steingrimsson, J.A.,. Personalized Risk Prediction in Clinical Oncology Research: Applications and Practical Issues Using Survival Trees and Random Forests. Journal of Biopharmaceutical Statistics. (In Press).

Steingrimsson, J.A., & Strawderman, R.L. (2017). Estimation in the semiparametric accelerated failure time model with missing covariates: improving efficiency through augmentation. Journal of the American Statistical Association. Volume 519. 1221-1235.

Steingrimsson, J.A., Hanley, D.F, & Rosenblum, M. (2017). Improving precision by adjusting for baseline variables in randomized trials with binary outcomes, without regression model assumptions. Contemporary Clinical Trials. Volume 54. 18-24. [Code included in web appendix].

Steingrimsson, J.A., Diao, L., Molinaro, A.M., & Strawderman, R. L. (2016). Doubly Robust survival trees. Statistics in Medicine. Volume 35. Issue 20. 3595 – 3612.

Vangay, P., Steingrimsson, J.A., Wiedmann, M., & Stasiewicz, M.J. (2014). Classification of Listeria monocytogenes persistence in retail delicatessen environments using expert elicitation and machine learning. Risk Analysis. Volume 34. Issue 10. 1830 – 1845.

Preprints

Rosenblum, M, & Steingrimsson, J.A. Matching the Efficiency Gains of the Logistic Regression Estimator while Avoiding its Interpretability Problems, in Randomized Trials.

Steingrimsson, J. A., Betz, J., Qian, T., and Rosenblum, M. Optimized Adaptive Enrichment Designs for Multi-ArmTrials: Learning which Subpopulations Benefit from Different Treatments.

Betz, J., Steingrimsson, J. A., Qian, T., and Rosenblum, M. Comparison of Adaptive Randomized Trial Designs for Time-to-Event Outcomes that Expand Versus Restrict Enrollment Criteria, to Test Non-Inferiority.

Steingrimsson, J. A. & Yang, J. Subgroup Identification using Covariate Adjusted Interaction Trees.

*Indicates joint first authors