Laber, E.B., Wu, F., Munera, C., Lipkovich, I., Colucci, S., Ripa, S. "Identifying optimal dosage regimes under safety constraints: an application to long-term opiod treatment of chronic pain," tenatively accepted, Statistics in Medicine.
Hu, T.*, Laber, E.B., Meyer, N.J., Pacifici, J. (2017) "Thompson sampling for large decision problems," acceptable after minor revision, Biometrika.
Laber, E.B., Staicu, A.M., (2017) "Functional feature construction for personalized treatment regimes," in press, Journal of the American Statistical Association.
Zhang, Y.*, Laber, E.B., Davidian, M., Tsiatis, A.A. (2017) "Decision lists for optimal dynamic treatment regimes," in press, Journal of the American Statistical Association.
Butler-Bente, E.*, Laber, E.B., Kosorok, M.R. (2017) "Incorporating patient preferences into the estimation of optimal treatment regimes," to appear, Biometrics.
Kelleher, S.A., Dorfman, C.S., Vilardaga, J.C.P., Majestic, C., Winger, J., Gandhi, V., Nunez, C., Van Denburg, A., Shelby, Reed, S.D., Murphy, S.A., Davidian, M., Laber, E.B., Kimmick, K.W., Westbrook, K.W., Abernathy, A.P., Keefe, F.J., Somers, T.J. (2017) "Optimizing delivery of a behavioral cancer pain intervention using a SMART," in press, Contemporary Clinical Trials.
Blau, S.R., David, L.M., Gorney, A.M., Dohse, C.S., Williams, K.D., Lim, J-H, Pftzner, W.G., Laber, E.B., Sawicki, G.S., Olby, N.J. (2017) "Quantifying Center of Pressure Variability in Chondrodystrophoid Dogs," in press, The Veterinary Journal.
Rashid, N., Chen, J. Lawson, M.T., Luckett, D., Wang, L., Laber, E.B., Liu, Y., Yeh, J.J., Zeng, D., Kosorok, M.R. (2017) "High dimensional precision medicine from patient-derived xenografts," under review, invited discussion paper, Journal of the American Statistical Association.
Laber, E.B., Shedden, K. (2017) "Comment: Statistical Significance and the Dichotomization of Evidence: The Relevance of the ASA Statement on Statistical Significance and p-values for Statisticians," to appear, Journal of the American Statistical Association.
Laber, E.B., Meyer, N.J., Reich, B.J., Pacifici, K.P., Collazo, J., Drake, J. (2017) "On-line estimation of an optimal treatment allocation strategy for the control of white-nose syndrome in bats," under review (tentatively accepted as a read paper in JRSS C).
Fenn, J., Laber, E.B., Williams, K., Rousse, C.A., Early, P.J., Mariani, C.J., Munana, K.R., Dedecker, S., Volk, H.A., Olby, N.J. (2016) "Evaluating associations between anesthetic variables and functional outcome in dogs with thoracolumbar intervertebral disc extrusion undergoing decompressive hemilaminectomy," tentatively accepted, Journal of Veterinary Internal Medicine.
Qian, G.*, Laber, E.B., Reich, B.R. (2016) "Discussion of Bayesian Non-parametric Estimation for Dynamic Treatment Regimes with Sequential Transition Times," invited discussion, Journal of the American Statistical Association, 111(515), 936-942.
Lizotte, D.J., Laber, E.B. (2016) "Non-deterministic fitted-Q for decision support," Journal of Machine Learning Research, 17(211), 1-28.
Laber, E.B., Regh, T., Davidian, M., Kosorok, M.R., Tsiatis, A., Zeng, D., Zhao, Y. (2016) "Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy," Statistics in Medicine, 35(8), 1245-1256.
Barberan, A., Dunn, R., Reich, B., Pacifici, K., Laber, E.B., Menninger, H., Morton, J., Henley, J., Leff, J., Miller, S., Fierer, N. (2015) "The ecology of microscopic life in household dust," Preceedings of the Royal Society B, 282(1814).
Linn, K.A.*, Laber, E.B., Stefanski, L.A. (2017) "Interactive Q-learning for quantiles," to appear, Journal of the American Statistical Association, 112(518), 638-649.
Zhang, Y.*, Laber, E.B., Tsiatis, A., Davidian, M. (2015) "Using decision lists to construct interpretable and parsimonious treatment regimes," Biometrics, 71(4), 895-904, (selected for ENAR Distinguished Paper Award).
Laber, E.B., Zhao, Y. (2015) "Tree-based methods for optimal treatment allocation," Biometrika, 102(3), 501-514.
Lizotte, D.J., Laber, E.B. (2015) "Multi-objective Markov Decision support systems," Proceedings of Reinforcement Learning and Decision Making (selected for oral presentation).
Zhang, Y.*, Laber, E.B. (2015) "Comment on an adaptive resampling test for detecting the presence of significant predictors," Journal of the American Statistical Association, 110(512), 1451-1454.
Wu. F.*, Laber, E.B., Lipkovich, I., Severus, E. (2015) "Who will benefit from antidepressants in the acute treatment of bipolar depression? A reanalysis of the STEP-BD study by Sachs et al. 2007, using Q-learning," International Journal of Bipolar Disorders, 3(1), 1-11.
Song, R., Kosork, M., Zeng, D., Zhao, Y.Q., Laber, E.B., Yuan, M. (2015) "On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning," Stat, 4(1), 59-68.
Linn, K.A.*, Laber, E.B., and Stefanski, L.A. (2014) "iqLearn: interactive Q-learning in R," Journal of Statistical Software, 64(1).
Zhao, Y., Zeng, D., Laber, E.B., Kosorok, M. (2014) "Doubly Robust Learning for Estimating Individualized Treatment with Censored Data," Biometrika, 101(2), 151-168.
Laber, E.B., Lizotte, D.J., Ferguson, B. (2014) "Set-valued dynamic treatment regimes for competing outcomes," Biometrics, 70(1), 53-61.
Lim, J., Chanoit, A., Smith, D.T., Laber, E.B., Olby, N.J. (2014) "Potassium channel antagonists 4-aminopyridine and the t-butyl carbamate derivative of 4-AP improve hind limb function in chronically non-ambulatory dogs, a blinded, placebo-controlled trial," PLOS One, 9(12), 1-19.
Laber, E.B., Davidian, M., Tsiatis, A.A., Holloway, S.T. (2014) "Discussion of Biomarkers to Optimize Patient Treatment Recommendations," Biometrics, 70(3), 707-710.
Huang, Y., Laber, E.B. (2014) "Personalized evaluation of biomarker value: a cost-benefit perspective," Statistics in Biosciences, 8(1), 43-65.
Chakraborty, B., Laber, E.B., Zhao, Y. (2014) "Inference about the expected performance of a data-driven dynamic treatment regime," Clinical Trials 11(4), 408-417.
Huang, Y., Laber, E.B., Janes, H. (2014) "Characterizing Expected Benefits of Biomarkers in Treatment Selection," Biostatistics, 16(2), 383-399.
Shortreed, S.M., Laber, E.B., Stroup, T.S., Pineau, J., Murphy, S.A. (2014) "Overcoming missing data in a sequential, multiple assignment, randomized clinical trial of patients with schizophrenia," Statistics in Medicine, 43(24), 4202-4214.
Zhang, B.*, Tsiatis, A., Laber, E.B., Davidian, M. (2013) "Robust estimation of optimal dynamic treatment regimes for sequential treatment decision," Biometrika, 101(3), 681-694.
Vock, D.*, Tsiatis, A., Davidian, M., Laber, E.B., Tsuang, W.M., Finland-Copeland, A., Palmer, S.M. (2013) "Estimating the causal effect of organ transplantation on the distribution of residual lifetime," Biometrics, 69(4), 820-829.
Chakraborty, B., Laber, E.B., Zhao, Y. (2013) "Inference for optimal dynamic treatment regimes using an adaptive m-out-of-n bootstrap scheme," Biometrics, 69(4), 714-723.
Laber, E.B., Murphy, S.A. (2008) "Small Sample Inference for Generalization Error in Classification Using the CUD Bound," Uncertainty in Artificial Intelligence, 2008. Machine Learning.
Davidian, M., Tsiatis, A.A., and Laber, E.B. (2016) "Optimal dynamic treatment regimes," Wiley StatsRef: Statistics Reference Online.
Davidian, M., Laber, E.B., Tsiatis, A.A. (2016) "Dynamic treatment regimes," Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis, book chapter, Taylor and Francis.
Shortreed, S. Laber, E.B., Pineau, J., Murphy, S.A. (2015) "Imputing missing data from sequential multiple assignment randomized trials," Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine, book chapter, CRC Press.
Davidian, M., Tsiatis, A.A., Laber, E.B. (2015) "Value Search Estimators for Optimal Treatment Regimes." Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine, book chapter, CRC Press.
Linn, K.A.*, Laber, E.B., Stefanski, L.A. (2015) "Constrained estimation for competing outcomes," Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine, book chapter, CRC Press.
Wu, F.*, Laber, E.B., Severus, E. (2014) "Introduction to SMARTs," Bipolar Disorders, book chapter, Oxford University Press.
Laber, E.B., Qian, M. (2014) "Evaluating personalized treatment regimes," Methods in Comparative Effectiveness Research CRC Press.
Laber, E.B. (2013) "Book review: Linear Causal Modeling with Structural Equations by Stanley Mulaik," Journal of the American Statistical Association.
Funded or recommended
Principal investigator, "Modeling agent behavior in complex environments," ($151,442, 2018-2019), Laboratory for Analytic Sciences.
Principal investigator, "Real-time coordinated decision making in multi-agent environments with application to adaptive search for nuclear materials," ($387,772, 2018-2010), Consortium for Non-proliferation Enabling Capabilities.
Principal Investigator, "Optimization of Partially Observable Games," ($27,000, 2016-2017), Amazon EC2 Cloud Credit Program.
Principal Investigator, "Impact Evaluation of Parent Messaging Strategies on Student Attendance," (NCSU Subcontract, $292,561, 2016-2019), IES.
Co-Principal Investigator, "Mental Health Characteristics and Outcomes of Wake County Detainees," ($94,598, 2016-2017), Wake County.
Principal Investigator, 1 R01 CA207689-01, "Optimization, Implementation, and Dissemination of a Tailored Translational Communication Intervention to Reduce Colorectal Cancer Health Disparities," (NCSU Subcontract, $129,364), NIH.
Investigator, "A spatiotemporal recommendation engine for malaria control," (PI Reich, $100,000, 2016-2017), Gates Foundation.
Investigator, 1 R01 CA202779-01, "Optimizing Delivery of a Behavioral Cancer Pain Intervention Using a SMART," ($102,952, 2016-2021), NIH.
Principal Investigator, U01 MD011281-01, "A Pragmatic Trial of An Adaptive eHealth HIV Prevention Program for Diverse Adolescent MSM," (NCSU Sub-contract $191,201, total award 9.3m, 2016-2021), NIH.
Principal Investigator, DMS-1555141, "CAREER: Big computation and the management of emerging infectious diseases," ($564,708, 2016-2021), NSF.
Principal Investigator, DMS-1557733, "QuBBD: Collaborative Research: Precision medicine and the management of infectious diseases," ($47,1440, 2015-2016), NSF.
Principal Investigator, "Research Collaboration Between SAS Institute and NCSU: Tuning Parameter Section in LASSO Regression and Related Regression Selection Methods," ($127,911, 2015-2016), SAS Institute
Investigator, R01-DK-108073, "Statistical methods for complex patients with diabetes," (PI Zhao, NCSU subcontract $128,670, 2015-2018), NIH.
Principal Investigator, DMS-1513579, "Optimal Decision Strategies for Large Spatio-Temporal Decision Problems," ($150,000, 2015-2018), NSF.
Investigator, "Advancing the use and application of diverse data sources and species distribution models," (PI Collazo, $300,000, 2014-2018), USGS.
Investigator, 1R01DE024984-01A1 "Spatiotemporal models for periodontal disease monitoring and recall frequencies," (PI Bandyopadhyay, NCSU subcontract $373,499, 2015-2019), NIH.
Investigator, 1R01CA202779-01 "Optimizing delivery of a behavioral cancer pain intervention using a SMART," under review, (scored 29, 13th percentile), NIH.
Investigator, 1R01 AA023187-01A1 "Data-Based Methods for Just In Time Adaptive Interventions in Alcohol Use," (PI Murphy, NCSU subcontract $87,823), NIH.
Investigator, "Research and applications in support of the National Gap Analysis Program," (PI Collazo, 2014-2018, $1,616,571), USGS.
Principal Investigator, "Murdock Gift," (PI Rob Calliff, Subcontract of Duke SEDI Project, $44,740, 2014-2015).
Co-Principal Investigator, DMS-0703392, "CSUMS: NC State University computation for undergraduates in statistics program," (PI Reich, 2011-2014, $770,714), NSF.
Co-Principal Investigator, PR-W-F14AF00171, "Conservation Design and Habitat Conservation in Puerto Rico," (PI Collazo, $1,364,995, 2014-2017), USGS.
Investigator, P01 CA142538, "Statistical methods for cancer clinical trials," (PI Kosorok, $10,328,825, 2015-2020), NIH.
Investigator, "Relationship between gait analysis, MRI findings, and response to potassium channel blockade in chronically paralyzed dogs: a personalized medicine pilot study," (PI Olby, $17,800, 2014), NCSU.
Principal Investigator, NSCU Minigrant, external mentoring, 2012.
Courses
Statistics 370: Statistics for Engineeers - fall 2011
Statistics 745: Advanced Survival Analysis - spring 2012, spring 2014, spring 2015
Statistics 810: Advanced Computing - spring 2013
Statistics 495: Undergrad Survival Analysis - spring 2014