Precision Medicine - 2013

McLay, L. A., & Mayorga, M. E. (2013). A model for optimally dispatching ambulances to emergency calls with classification errors in patient priorities. IIE Transactions, 45(1), 1–24. https://doi.org/10.1080/0740817x.2012.665200

Toro-Díaz, H., Mayorga, M. E., Chanta, S., & McLay, L. A. (2013). Joint location and dispatching decisions for Emergency Medical Services. Computers & Industrial Engineering, 64(4), 917–928. https://doi.org/10.1016/j.cie.2013.01.002

Mayorga, M. E., Bandara, D., & McLay, L. A. (2013). Districting and dispatching policies for emergency medical service systems to improve patient survival. IIE Transactions on Healthcare Systems Engineering, 3(1), 39–56. https://doi.org/10.1080/19488300.2012.762437

Goldberg, Y., Song, R., & Kosorok, M. R. (2013). Adaptive Q-learning. In M. Bannerjee, F. Bunea, J. Huang, V. Koltchinskii, & M. H. Maathuis (Eds.), From Probability to Statistics and Back: High-Dimensional Models and Processes (pp. 150–162). Beachwood, Ohio: Institute of Mathematical Statistics.

McLay, L. A., & Mayorga, M. E. (2013). A Dispatching Model for Server-to-Customer Systems That Balances Efficiency and Equity. Manufacturing & Service Operations Management, 15(2), 205–220. https://doi.org/10.1287/msom.1120.0411

Thomas, L., Stefanski, L. A., & Davidian, M. (2013). Bias Reduction in Logistic Regression with Estimated Variance Predictors. In ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers (pp. 33–51). https://doi.org/10.1007/978-1-4614-6871-4_2

Sullivan, L. M., Davidian, M., DeStefano, A. L., & Stone, R. A. (2013). Building the Biostatistics Pipeline: Summer Institutes for Training in Biostatistics (SIBS). CHANCE, 26(1), 4–9. https://doi.org/10.1080/09332480.2013.772386

Childers, A. K., Mayorga, M. E., & Taaffe, K. M. (2013). Prioritization strategies for patient evacuations. Health Care Management Science, 17(1), 77–87. https://doi.org/10.1007/s10729-013-9236-0

Huffman, T., Link, K., Nardini, J., Poag, L., Flores, K., Banks, H. T., … Diez, J. (2013). A mathematical model of RNA3 recruitment in the replication cycle of Brome Mosaic Virus. International Journal of Pure and Applied Mathematics, 89(2), 251–274. https://doi.org/10.12732/ijpam.v89i2.9

Flores, K. B., Wolschin, F., & Amdam, G. V. (2013). The Role of Methylation of DNA in Environmental Adaptation. Integrative and Comparative Biology, 53(2), 359–372. https://doi.org/10.1093/icb/ict019

Mayorga, M. E., Ahn, H.-S., & Aydin, G. (2013). Assortment and inventory decisions with multiple quality levels. Annals of Operations Research, 211(1), 301–331. https://doi.org/10.1007/s10479-013-1456-7

Vock, D. M., Tsiatis, A. A., Davidian, M., Laber, E. B., Tsuang, W. M., Copeland, C. A. F., & Palmer, S. M. (2013). Assessing the Causal Effect of Organ Transplantation on the Distribution of Residual Lifetime. BIOMETRICS, 69(4), 820–829. https://doi.org/10.1111/biom.12084

Davidian, M. (2013, December). The International Year of Statistics: A Celebration and A Call to Action. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 108, pp. 1141–1146. https://doi.org/10.1080/01621459.2013.844019

Mayorga, M., Reifsnider, O. S., Neyens, D. M., Gebregziabher, M. G., & Hunt, K. J. (2013). Simulated estimates of pre-pregnancy and gestational diabetes mellitus in the US: 1980 to 2008. PLoS One, 8(9). https://doi.org/10.1371/journal.pone.0073437

Thomas, L., Stefanski, L. A., & Davidian, M. (2013). Moment adjusted imputation for multivariate measurement error data with applications to logistic regression. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 67, 15–24. https://doi.org/10.1016/j.csda.2013.04.017

Zhang, B., Tsiatis, A. A., Laber, E. B., & Davidian, M. (2013). Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions. BIOMETRIKA, 100(3), 681–694. https://doi.org/10.1093/biomet/ast014

Everett, R. A., Zhao, Y., Flores, K. B., & Kuang, Y. (2013). DATA AND IMPLICATION BASED COMPARISON OF TWO CHRONIC MYELOID LEUKEMIA MODELS. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 10(5-6), 1501–1518. https://doi.org/10.3934/mbe.2013.10.1501

Flores, K. B. (2013). A structured population modeling framework for quantifying and predicting gene expression noise in flow cytometry data. APPLIED MATHEMATICS LETTERS, 26(7), 794–798. https://doi.org/10.1016/j.aml.2013.03.003