Precision Medicine - 2023

Shi, C., Wan, R., Song, G., Luo, S., Zhu, H., & Song, R. (2023). A MULTIAGENT REINFORCEMENT LEARNING FRAMEWORK FOR OFF-POLICY EVALUATION IN TWO-SIDED MARKETS. ANNALS OF APPLIED STATISTICS, 17(4), 2701–2722. https://doi.org/10.1214/22-AOAS1700

Howerton, E., Contamin, L., Mullany, L. C., Qin, M., Reich, N. G., Bents, S., … Lessler, J. (2023). Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty. NATURE COMMUNICATIONS, 14(1). https://doi.org/10.1038/s41467-023-42680-x

Lagergren, J., Pavicic, M., Chhetri, H. B., York, L. M., Hyatt, D., Kainer, D., … Streich, J. (2023). Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in<i> Populus</i><i> trichocarpa</i>. PLANT PHENOMICS, 5. https://doi.org/10.34133/plantphenomics.0072

Sharkey, T. C., Keskin, B. B., Konrad, R., & Mayorga, M. E. (2023, October 18). Introduction to the Special Issue on Analytical Methods for Detecting, Disrupting, and Dismantling Illicit Operations. IISE TRANSACTIONS, Vol. 10. https://doi.org/10.1080/24725854.2023.2271536

Ghosh, T., Ma, Y., Song, R., & Zhong, P. (2023). Flexible inference of optimal individualized treatment strategy in covariate adjusted randomization with multiple covariates. ELECTRONIC JOURNAL OF STATISTICS, 17(1), 1344–1370. https://doi.org/10.1214/23-EJS2127

Nguyen, K., Li, K., Flores, K., Tomaras, G. D., Dennison, S. M., & McCarthy, J. M. (2023). Parameter estimation and identifiability analysis for a bivalent analyte model of monoclonal antibody-antigen binding. ANALYTICAL BIOCHEMISTRY, 679. https://doi.org/10.1016/j.ab.2023.115263

Nambiar, S., Mayorga, M. E., & Liu, Y. (2023). Routing and staffing in emergency departments: A multiclass queueing model with workload dependent service times. IISE TRANSACTIONS ON HEALTHCARE SYSTEMS ENGINEERING, 13(1), 46–61. https://doi.org/10.1080/24725579.2022.2100522

Rhodes, G., Davidian, M., & Lu, W. (2023). DYNAMIC PREDICTION OF RESIDUAL LIFE WITH LONGITUDINAL COVARIATES USING LONG SHORT-TERM MEMORY NETWORKS. ANNALS OF APPLIED STATISTICS, 17(3), 2039–2058. https://doi.org/10.1214/22-AOAS1706

Paramita, N. L. P. S. P., Agor, J. K., Mayorga, M. E., Ivy, J. S., Miller, K. E., & Ozaltin, O. Y. (2023). Quantifying association and disparities between diabetes complications and COVID-19 outcomes: A retrospective study using electronic health records. PLOS ONE, 18(9). https://doi.org/10.1371/journal.pone.0286815

Li, Y., Reed, S. D., Winger, J. G., Hyland, K. A., Fisher, H. M., Kelleher, S. A., … Somers, T. J. (2023). Cost-Effectiveness Analysis Evaluating Delivery Strategies for Pain Coping Skills Training in Women With Breast Cancer. JOURNAL OF PAIN, 24(9), 1712–1720. https://doi.org/10.1016/j.jpain.2023.05.004

Somers, T. J. J., Winger, J. G. G., Fisher, H. M. M., Hyland, K. A. A., Davidian, M., Laber, E. B. B., … Keefe, F. J. J. (2023). Behavioral cancer pain intervention dosing: results of a Sequential Multiple Assignment Randomized Trial. PAIN, 164(9), 1935–1941. https://doi.org/10.1097/j.pain.0000000000002915

Nguyen, K., Rutter, E. M., & Flores, K. B. (2023). Estimation of Parameter Distributions for Reaction-Diffusion Equations with Competition using Aggregate Spatiotemporal Data. BULLETIN OF MATHEMATICAL BIOLOGY, 85(7). https://doi.org/10.1007/s11538-023-01162-3

Meghan. C. C. O'Leary, Lich, K. H., Mayorga, M. E. E., Hicklin, K., Davis, M. M. M., Brenner, A. T. T., … Wheeler, S. B. B. (2023, May 6). Engaging stakeholders in the use of an interactive simulation tool to support decision-making about the implementation of colorectal cancer screening interventions. CANCER CAUSES & CONTROL, Vol. 5. https://doi.org/10.1007/s10552-023-01692-0

Gao, Y., Shi, C., & Song, R. (2023). Deep spectral Q-learning with application to mobile health. STAT, 12(1). https://doi.org/10.1002/sta4.564

Chen, H., Lu, W., Song, R., & Ghosh, P. (2023, April 12). On Learning and Testing of Counterfactual Fairness through Data Preprocessing. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 4. https://doi.org/10.1080/01621459.2023.2186885

Paret, K., Rodriguez, S. A., Mayorga, M. E., Velotti, L., & Lodree, E. J. (2023). Agent-Based Simulation of Spontaneous Volunteer Convergence to Improve Disaster Planning. NATURAL HAZARDS REVIEW, 24(2). https://doi.org/10.1061/NHREFO.NHENG-1659

Manschot, C., Laber, E., & Davidian, M. (2023, March 22). Interim monitoring of sequential multiple assignment randomized trials using partial information. BIOMETRICS, Vol. 3. https://doi.org/10.1111/biom.13854

Li, R., Tobey, M., Mayorga, M. E., Caltagirone, S., & Ozaltin, O. Y. (2023, February 22). Detecting Human Trafficking: Automated Classification of Online Customer Reviews of Massage Businesses. M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, Vol. 2. https://doi.org/10.1287/msom.2023.1196