Precision Medicine

Reducing Manual Labeling Effort in Imbalanced Data Sets: Active Learning for Detecting Illicit Massage Business Reviews

Tobey, M., Mayorga, M. E., Bosisto, S., & Özaltın, O. Y. (2026, February 12). Operations Research, Vol. 2.

mHealth adherence in pediatric epilepsy: Outcomes of a sequential, multiple assignment, randomized trial (SMART)

Modi, A. C., Wagner, J. L., Patel, A. D., Buschhaus, S., Schmidt, M., Huszti, H., … Davidian, M. (2026, January 24). Epilepsia, Vol. 1.

Advancing Simulation in Healthcare and Life Sciences: A Panel Discussion of Future Research Directions

Gopalappa, C., Martagan, T., Mayorga, M. E., Mokashi, A. C., & Ramamohan, V. (2025, December 7). (Vol. 12). Vol. 12.

Decision Tree Framework for Selecting Evidence-Based Colorectal Cancer Screening Interventions Using Metamodels

Stanfield, A., Mayorga, M., O'Leary, M., & Lich, K. H. (2025, December 7). (Vol. 12). Vol. 12.

Modeling Social Influence on Covid-19 Vaccination Uptake Within an Agent-Based Model

Mulutzie, S. K., Rodriguez-Cartes, S. A., Özaltın, O. Y., Swann, J. L., & Mayorga, M. E. (2025, December 7). (Vol. 12). Vol. 12.

Topologically-based parameter inference for agent-based model selection from spatiotemporal cellular data

Wenzel, A. R., Haughey, P. M., Nguyen, K. C., Nardini, J. T., Haugh, J. M., & Flores, K. B. (2025, June 15). BioRxiv (Cold Spring Harbor Laboratory), Vol. 6.

Independent Increments and Group Sequential Tests

Tsiatis, A. A., & Davidian, M. (2025, November 1). Statistics in Medicine.

Predicting patient enrollment in a telephone-based principal care management service using topic modeling

Rus, A. M. M., Ivy, J. S., Chi, M., Plyler, M., Wells-Gray, E., & Mayorga, M. E. (2025, September 18). PLOS Digital Health, Vol. 4.

Improving deceased donor kidney utilization: predicting risk of nonuse with interpretable models

Li, R., Tunç, S., Özaltın, O. Y., & Ellis, M. J. (2025, August 13). Frontiers in Artificial Intelligence, Vol. 8.

Estimating the long-term health impact and program cost-effectiveness of providing direct screening services to low-income, medically underserved patients through the Colorectal Cancer Control Program (CRCCP)

O’Leary, M. C., Koutouan, P. R., Mayorga, M. E., Sharma, K. P., DeGroff, A., Richardson, L. C., & Lich, K. H. (2025, May 29). Cancer Causes & Control, Vol. 5.

Inference for change-plane regression

Kang, C., Cho, H., Song, R., Banerjee, M., Laber, E. B., & Kosorok, M. R. (2025, April 9). Bernoulli.

Mathematical modeling of multicellular tumor spheroids quantifies inter-patient and intra-tumor heterogeneity

Malik, A. A., Nguyen, K. C., Nardini, J. T., Krona, C. C., Flores, K. B., & Nelander, S. (2025, February 15). Npj Systems Biology and Applications.

Optimizing Masks and Random Screening Test Usage within K-12 Schools

Zhang, Y., Mayorga, M. E., Ivy, J. S., & Swann, J. L. (2025, January 1). MDM Policy & Practice, Vol. 10.

Incorporating Face Mask Usage in Agent-Based Models Using Personal Beliefs and Perceptions: An Application of the Health Belief Model

Rodriguez-Cartes, S. A., Mayorga, M. E., Özaltin, O. Y., & Swann, J. L. (2024, December 15). 2024 WINTER SIMULATION CONFERENCE, WSC, pp. 1071–1082.

Metamodel of a Simulation Model of Colorectal Cancer with Diverse Clinic Populations and Intervention Scenarios

Stanfield, A., Mayorga, M. E., O'Leary, M. C., & Lich, K. H. (2024, December 15). 2024 WINTER SIMULATION CONFERENCE, WSC, pp. 1118–1129.

Adaptive randomization methods for sequential multiple assignment randomized trials (smarts) via thompson sampling

Norwood, P., Davidian, M., & Laber, E. (2024, October 3). Biometrics.

Continuous-Time Hidden Markov Factor Model for Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae

Ge, L., An, X., Zeng, D., McLean, S., Kessler, R., & Song, R. (2024, December 9). IEEE Journal of Biomedical and Health Informatics.

Modeling BK Virus Infection in Renal Transplant Recipients

Myers, N., Droz, D., Rogers, B. W., Tran, H., Flores, K. B., Chan, C., … McCarthy, J. M. (2024, December 31). Viruses, Vol. 17.

A generalized logrank-type test for comparison of treatment regimes in sequential multiple assignment randomized trials

Tsiatis, A. A., & Davidian, M. (2024, October 3). Biometrics, Vol. 80.

The eACT study design and methods: A sequential, multiple assignment, randomized trial of A novel adherence intervention for youth with epilepsy

Wagner, J. L., Patel, A. D., Huszti, H., Schmidt, M., Smith, G., Bhatia, S., … Modi, A. C. (2024, November 10). Contemporary Clinical Trials, Vol. 147.

Solving a class of two-stage stochastic nonlinear integer programs using value functions

Zhang, J., Özaltın, O. Y., & Trapp, A. C. (2024, September 21). Journal of Global Optimization, Vol. 9.

Datopotamab–deruxtecan in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial

Khoury, K., Meisel, J. L., Yau, C., Rugo, H. S., Nanda, R., Davidian, M., … Esserman, L. J. (2024, September 14). Nature Medicine, Vol. 9.

Datopotamab–deruxtecan plus durvalumab in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial

Shatsky, R. A., Trivedi, M. S., Yau, C., Nanda, R., Rugo, H. S., Davidian, M., … Esserman, L. J. (2024, September 14). Nature Medicine, Vol. 9.

Improving classification performance of motor imagery BCI through EEG data augmentation with conditional generative adversarial networks

Choo, S., Park, H., Jung, J.-Y., Flores, K., & Nam, C. S. (2024, August 28). Neural Networks.

A crossword solving system based on Monte Carlo tree search

Liu, J., Chen, L., Jiang, S., Wang, C., Zhang, S., Liang, J., … Song, R. (2024, July 26). Artificial Intelligence.