Research

Research Interests

• • Biostatistics, Data Science, Empirical Processes, Machine Learning, Artificial Intelligence, Precision Medicine, Precision Health, Precision Operations

Research Activities

• • Journal Publications (Peer-Reviewed)
  • Working Papers:
    • Choudhury A and Kosorok MR (2020). Missing data imputation for classification problems.
    • El-Zaatari H, Yu F, Kosorok MR (2023). Stochastic step-wise feature selection for Exponential Random Graph Models (ERGMs).
    • 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.
    • Kang C, Cho H, Song R, Banerjee M, Laber EB, and Kosorok MR (2022). Inference for change-plane regression.
    • Lee DN and Kosorok MR (2024). Off-policy reinforcement learning with high dimensional reward.
    • Leete OW, Kallus N, Hudgens MG, Napravnik S, and Kosorok MR (2019). Ballanced policy evaluation and learning for right censored data. 
    • Li X, Kosorok MR (2023). Functional individualized treatment regimes with imaging features.
    • Meixide CG, Matabuena M, and Kosorok MR (2022). Neural interval-censored Cox regression with feature selection.
    • Rose EJ, Laber EB, Davidian M, Tsiatis AA, Zhao Y-Q, and Kosorok MR (2019). Sample size calculations for SMARTs.
    • Zhou CW, Freeman NLB, McGinigle KL, Kosorok MR (2024). Optimal individualized treatment regimes for survival data with competing risks.

• • 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.
  • Other Publications (Non Peer Reviewed)

• • Grants

• • Software