Research Interests
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- Biostatistics, Data Science, Artificial Intelligence, Empirical Processes, Machine Learning, Precision Medicine, Precision Health, Precision Operations
Research Activities
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- Journal Publications (Peer-Reviewed)
- Working Papers:
- Choudhury A and Kosorok MR (2020). Missing data imputation for classification problems.
- Fu Z, Qi Z, Wang Z, Yang Z, Xu Y, and Kosorok MR (2022). Offline reinforcement learning with instrumental variables in confounded Markov Decison Processes.
- Lee DN and Kosorok MR (2024). Off-policy reinforcement learning with high dimensional reward.
- Lee K, Cristello Sarteau A, and Kosorok MR (2026). Provable offline reinforcement learning for structured cyclic MDPs.
- Leete OW, Kallus N, Hudgens MG, Napravnik S, and Kosorok MR (2019). Ballanced policy evaluation and learning for right censored data.
- Li X, Hoch M, Kosorok MR (2025). Linear regression using principal components from general Hilber-space-valued covariates.
- Rose EJ, Laber EB, Davidian M, Tsiatis AA, Zhao Y-Q, and Kosorok MR (2019). Sample size calculations for SMARTs.
- She J, Egberg M, Kosorok MR (2025). An optimal dynamic treatment regime estimator for indefinite-horizon survival outcomes.
- Sperger J, Kidwell KM, Mauck MC, Zhao B, Anstrom KJ, Batorsky A, Carey TS, Clauw DJ, Freeman NLB, Greco CM, Ivanova A, Jones Berkeley S, McLean SA, Psioda MA, Rowland B, Sowa GA, Wasan AD, Zitovsky JP, Kosorok MR (2025). Statistical design and rationale of the Biomarkers for Evaluating Spine Treatments (BEST) trial.
- Zhou CW, Freeman NLB, McGinigle KL, Kosorok MR (2024). Optimal individualized treatment regimes for survival data with competing risks.
- Zou Y, Matabuena M, Kosorok MR (2026). Distributional random forests for complex survery designs on reproducing kernel Hilbert spaces.
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- Books:
- M. R. Kosorok (2008) Introduction to Empirical Processes and Semiparametric Inference. Springer: New York. Click here to download the first 14 chapters. Click here to see errata
- M. R. Kosorok and E. E. M. Moodie (2016). Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine. ASA-SIAM Series on Statistics and Applied Probability, SIAM, Philadelphia, ASA, Alexandria, VA.
- Books: