Precision Medicine - 2022

Rosenstrom, E. T., Ivy, J. S., Mayorga, M. E., & Swann, J. L. (2022). COULD EARLIER AVAILABILITY OF BOOSTERS AND PEDIATRIC VACCINES HAVE REDUCED IMPACT OF COVID-19? 2022 WINTER SIMULATION CONFERENCE (WSC), pp. 1092–1103. https://doi.org/10.1109/WSC57314.2022.10015236

Zhang, Y., Mayorga, M. E., Ivy, J., Lich, K. H., & Swann, J. L. (2022). Modeling the Impact of Nonpharmaceutical Interventions on COVID-19 Transmission in K-12 Schools. MDM POLICY & PRACTICE, 7(2). https://doi.org/10.1177/23814683221140866

Ding, Y., Li, Y., & Song, R. (2022, November 18). Statistical Learning for Individualized Asset Allocation. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 11. https://doi.org/10.1080/01621459.2022.2139265

Johnson, K., Biddell, C. B. B., Hecht, H. K. K., Lich, K. H. H., Swann, J., Delamater, P., … Patel, M. D. D. (2022, November 18). Organizational decision-making during COVID-19: A qualitative analysis of the organizational decision-making system in the United States during COVID-19. JOURNAL OF CONTINGENCIES AND CRISIS MANAGEMENT, Vol. 11. https://doi.org/10.1111/1468-5973.12437

Agor, J. K., Li, R., & Ozaltin, O. Y. (2022). Septic shock prediction and knowledge discovery through temporal pattern mining. ARTIFICIAL INTELLIGENCE IN MEDICINE, 132. https://doi.org/10.1016/j.artmed.2022.102406

Shi, C., Zhu, J., Ye, S., Luo, S., Zhu, H., & Song, R. (2022, October 3). Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 10. https://doi.org/10.1080/01621459.2022.2110878

Shi, C., Luo, S., Le, Y., Zhu, H., & Song, R. (2022, September 22). Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 9. https://doi.org/10.1080/01621459.2022.2106868

Tsiatis, A. A., & Davidian, M. (2022, September 18). Group sequential methods for interim monitoring of randomized clinical trials with time-lagged outcome. STATISTICS IN MEDICINE, Vol. 9. https://doi.org/10.1002/sim.9580

Tobey, M., Li, R., Ozaltin, O. Y., Mayorga, M. E., & Caltagirone, S. (2022, August 28). Interpretable models for the automated detection of human trafficking in illicit massage businesses. IISE TRANSACTIONS, Vol. 8. https://doi.org/10.1080/24725854.2022.2113187

Biddell, C. B. B., Johnson, K. T. T., Patel, M. D. D., Smith, R. L. L., Hecht, H. K. K., Swann, J. L. L., … Lich, K. H. (2022). Cross-sector decision landscape in response to COVID-19: A qualitative network mapping analysis of North Carolina decision-makers. FRONTIERS IN PUBLIC HEALTH, 10. https://doi.org/10.3389/fpubh.2022.906602

Hicklin, K., Meghan C. O'Leary, Nambiar, S., Mayorga, M. E., Wheeler, S. B., Davis, M. M., … Lich, K. H. (2022). Assessing the impact of multicomponent interventions on colorectal cancer screening through simulation: What would it take to reach national screening targets in North Carolina. PREVENTIVE MEDICINE, 162. https://doi.org/10.1016/j.ypmed.2022.107126

Pu, W., Hu, J., Wang, X., Li, Y., Hu, S., Zhu, B., … Lyu, S. (2022). Learning a deep dual-level network for robust DeepFake detection. PATTERN RECOGNITION, 130. https://doi.org/10.1016/j.patcog.2022.108832

Johnson, D., Lu, W., & Davidian, M. (2022, August 2). A general framework for subgroup detection via one-step value difference estimation. BIOMETRICS, Vol. 8. https://doi.org/10.1111/biom.13711

Khorramfar, R., Ozaltin, O. Y., Kempf, K. G., & Uzsoy, R. (2022, June 30). Managing Product Transitions: A Bilevel Programming Approach. INFORMS JOURNAL ON COMPUTING, Vol. 6, pp. 1–17. https://doi.org/10.1287/ijoc.2022.1210

Zhou, Y., Wang, L., Song, R., & Zhao, T. (2022, June 28). Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 6. https://doi.org/10.1080/01621459.2022.2068420

Townsley, R. M., Koutouan, P. R., Mayorga, M. E., Mills, S. D., Davis, M. M., & Hasmiller Lich, K. (2022, May 11). When History and Heterogeneity Matter: A Tutorial on the Impact of Markov Model Specifications in the Context of Colorectal Cancer Screening. MEDICAL DECISION MAKING, Vol. 5. https://doi.org/10.1177/0272989X221097386

Davidian, M. (2022). Methods Based on Semiparametric Theory for Analysis in the Presence of Missing Data. ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, 9, 167–196. https://doi.org/10.1146/annurev-statistics-040120-025906

Cooks, E. J., Duke, K. A., Neil, J. M., Vilaro, M. J., Wilson-Howard, D., Modave, F., … Krieger, J. L. (2022). Telehealth and racial disparities in colorectal cancer screening: A pilot study of how virtual clinician characteristics influence screening intentions. JOURNAL OF CLINICAL AND TRANSLATIONAL SCIENCE, 6(1). https://doi.org/10.1017/cts.2022.386

Shi, L., Mayorga, M., Su, D., Li, Y., Martin, E., & Zhang, D. (2022). GENERATION 1.5: YEARS IN THE UNITED STATES AND OTHER FACTORS AFFECTING SMOKING BEHAVIORS AMONG ASIAN AMERICANS. ETHNICITY & DISEASE, 32(2), 75–80. https://doi.org/10.18865/ed.32.2.75

Chen, L., Jiang, S., Liu, J., Wang, C., Zhang, S., Xie, C., … Song, R. (2022). Rule mining over knowledge graphs via reinforcement learning. KNOWLEDGE-BASED SYSTEMS, 242. https://doi.org/10.1016/j.knosys.2022.108371

Bansal, A., Ozaltin, O. Y., Uzsoy, R., & Kempf, K. G. (2022, April 9). Coordination of manufacturing and engineering activities during product transitions. NAVAL RESEARCH LOGISTICS, Vol. 4. https://doi.org/10.1002/nav.22056

Swan, B. P., Mayorga, M. E., & Ivy, J. S. (2022). The SMART Framework: Selection of Machine Learning Algorithms With ReplicaTions-A Case Study on the Microvascular Complications of Diabetes. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 26(2), 809–817. https://doi.org/10.1109/JBHI.2021.3094777

Liu, Y., Song, R., Lu, W., & Xiao, Y. (2022, March 10). A Probit Tensor Factorization Model For Relational Learning. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, Vol. 3. https://doi.org/10.1080/10618600.2021.2003204

Shi, C., Wang, X., Luo, S., Zhu, H., Ye, J., & Song, R. (2022, March 12). Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 3. https://doi.org/10.1080/01621459.2022.2027776

Warrier, S., Rutter, E. M., & Flores, K. B. (2022). Multitask neural networks for predicting bladder pressure with time series data. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 72. https://doi.org/10.1016/j.bspc.2021.103298