Precision Medicine - 2020

Swan, B., Nambiar, S., Koutouan, P., Mayorga, M. E., Ivy, J., & Fransen, S. (2020). EVALUATING DIABETIC RETINOPATHY SCREENING INTERVENTIONS IN A MICROSIMULATION MODEL. 2020 WINTER SIMULATION CONFERENCE (WSC), pp. 944–955. https://doi.org/10.1109/WSC48552.2020.9384074

Yu, M., Lu, W., & Song, R. (2020). A New Framework for Online Testing of Heterogeneous Treatment Effect. Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 34(6), 10310–10317. https://doi.org/10.1609/aaai.v34i06.6594

Diaz-Garelli, F., Strowd, R., Lawson, V. L., Mayorga, M. E., Wells, B. J., Lycan, T. W., Jr., & Topaloglu, U. (2020). Workflow Differences Affect Data Accuracy in Oncologic EHRs: A First Step Toward Detangling the Diagnosis Data Babel. JCO CLINICAL CANCER INFORMATICS, 4, 529–538. https://doi.org/10.1200/CCI.19.00114

Lagergren, J. H., Nardini, J. T., Baker, R. E., Simpson, M. J., & Flores, K. B. (2020). Biologically-informed neural networks guide mechanistic modeling from sparse experimental data. PLOS COMPUTATIONAL BIOLOGY, 16(12). https://doi.org/10.1371/journal.pcbi.1008462

Saberi-Bosari, S., Flores, K. B., & San-Miguel, A. (2020). Deep learning-enabled analysis reveals distinct neuronal phenotypes induced by aging and cold-shock. BMC BIOLOGY, 18(1). https://doi.org/10.1186/s12915-020-00861-w

San Miguel, A., Ramirez, J., & Flores, K. (2020, April). Lifelong Analysis of Key Aging Genes as Determinants of Lifespan in <it>C</it>. <it>elegans</it>. FASEB JOURNAL, Vol. 34. https://doi.org/10.1096/fasebj.2020.34.s1.00160

Nardini, J. T., Lagergren, J. H., Hawkins-Daarud, A., Curtin, L., Morris, B., Rutter, E. M., … Flores, K. B. (2020). Learning Equations from Biological Data with Limited Time Samples. BULLETIN OF MATHEMATICAL BIOLOGY, 82(9). https://doi.org/10.1007/s11538-020-00794-z

Chen, H., Lu, W., & Song, R. (2020). Statistical Inference for Online Decision Making: In a Contextual Bandit Setting. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 7, pp. 1–16. https://doi.org/10.1080/01621459.2020.1770098

Dong, L., Laber, E., Goldberg, Y., Song, R., & Yang, S. (2020). Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness. STATISTICS IN MEDICINE, 39(25), 3503–3520. https://doi.org/10.1002/sim.8678

McKenzie, K. E., Mayorga, M. E., Miller, K. E., Singh, N., Arnold, R. C., & Romero-Brufau, S. (2020). [Review of Notice to comply: A systematic review of clinician compliance with guidelines surrounding acute hospital-based infection management]. AMERICAN JOURNAL OF INFECTION CONTROL, 48(8), 940–947. https://doi.org/10.1016/j.ajic.2020.02.006

Everett, R., Flores, K. B., Henscheid, N., Lagergren, J., Larripa, K., Li, D., … Rutter, E. M. (2020). [Review of A tutorial review of mathematical techniques for quantifying tumor heterogeneity]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 17(4), 3660–3709. https://doi.org/10.3934/mbe.2020207

Powell, W., Frerichs, L., Townsley, R., Mayorga, M., Richmond, J., Corbie-Smith, G., … Lich, K. H. (2020). The potential impact of the Affordable Care Act and Medicaid expansion on reducing colorectal cancer screening disparities in African American males. PLOS ONE, 15(1). https://doi.org/10.1371/journal.pone.0226942

Pan, M., Li, Y., Zhou, X., Liu, Z., Song, R., Liu, H., … Tian, Z. (2020). DHPA: Dynamic Human Preference Analytics Framework— A Case Study on Taxi Drivers' Learning Curve Analysis. ACM Transactions on Intelligent Systems and Technology, 11(1). https://doi.org/10.1145/3360312

Velasquez, G. A., Mayorga, M. E., & Ozaltin, O. Y. (2020). Prepositioning disaster relief supplies using robust optimization. IISE TRANSACTIONS, 52(10), 1122–1140. https://doi.org/10.1080/24725854.2020.1725692

Lagergren, J. H., Nardini, J. T., Michael Lavigne, G., Rutter, E. M., & Flores, K. B. (2020). Learning partial differential equations for biological transport models from noisy spatio-temporal data. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 476(2234). https://doi.org/10.1098/rspa.2019.0800

Enayati, S., & Ozaltin, O. Y. (2020). Optimal influenza vaccine distribution with equity. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 283(2), 714–725. https://doi.org/10.1016/j.ejor.2019.11.025

Shi, C., Song, R., Lu, W., & Li, R. (2020). Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. https://doi.org/10.1080/01621459.2019.1710154

Tsiatis, A. A., Davidian, M., Laber, E. B., & Holloway, S. T. (2020). Dynamic Treatment Regimes: Statistical Methods for Precision Medicine. In CRC Press. https://doi.org/10.1201/9780429192692/dynamic-treatment-regimes-anastasios-tsiatis-marie-davidian-shannon-holloway-eric-labe

Yang, S., Kim, J. K., & Song, R. (2020). Doubly robust inference when combining probability and non-probability samples with high dimensional data. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 1. https://doi.org/10.1111/rssb.12354

Shi, C., Lu, W., & Song, R. (2020). A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 115(531), 1201–1213. https://doi.org/10.1080/01621459.2019.1604368

Su, L., Lu, W., Song, R., & Huang, D. (2020). Testing and Estimation of Social Network Dependence With Time to Event Data. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 115(530), 570–582. https://doi.org/10.1080/01621459.2019.1617153