Publications

Papers, money, and courses galore!

Peer Reviewed

*(Asterisk indicates first author is student)

  • 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.
  • Grantham, N.*, Reich, B., Pacifici, K, Laber, E.B., Menninger, H.L., Henley, J.B., Leff, J.W., Barberan, A., Fierer, N., Dunn, R.R. (2015) "Fungi identify the geographic origin of dust samples," PLOS One, 10(4).
  • Zhao, Y., Zeng, D., Laber, E.B., Kosorok, M. (2015) “New statistical learning methods for estimating optimal dynamic treatment regimes,” Journal of the American Statistical Association, 110(510), 583-598.
  • 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., Qian, M., Pehlam, W.E., Murphy, S.A. (2014) "Dynamic treatment regimes: Technical challenges and applications," Electronic Journal of Statistics (with discussion), 8(1), 1225-1272.
  • Laber, E.B., Linn, K.A., Stefanski, L. (2014) "Interactive model building for Q-learning," Biometrika, 101(4), 831-847.
  • 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.
  • Zhao, Y.Q., Laber, E.B. (2014) "Estimation of Optimal Dynamic Treatment Regimes," Clinical Trials, 11(4), 400-407.
  • 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.
  • Schulte, P.*, Tsiatis, A., Laber, E.B., Davidian, M. (2014) “A Comparison and Q- and A-Learning,” Statistical Science, 29(4), 640-661.
  • 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.
  • Zhang, B.*, Tsiatis, A., Laber, E.B., Davidian, M., (2012) "A robust method for estimating optimal treatment regimes," Biometrics, 68(4), 1010-1018.
    • Zhang, B.*, Tsiatis, A., Laber, E.B., Davidian, M., (2014) "Rejoinder: A robust method for estimating optimal treatment regimes," Biometrics, 71(1), 267-273.
  • Zhang, B.*, Tsiatis, A., Davidian, M., Zhang, M., Laber, E.B. "A classification perspective of optimal treatment regimes," Stat, 1(1), 103-114.
  • Laber, E.B., Murphy, S.A. (2011) "Adaptive Confidence Intervalsfor the Test Error in Classification," Journal of the American Statistical Association, with discussion, 106(495), 904-911.
  • Shortreed, S.M., Laber, E.B., Lizotte, D.J., Stroup, T.S., Pineau, J., Murphy, S.A. (2011) "Informing sequential clinical decision-making through reinforcement learning: an empirical study," Machine Learning, 84, 109-136.
  • 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.

Book Chapters and Misc.

  • Desmarais, S. L., Lowder, E. M., Dong, L., Laber, E.B. (2017) Mental health characteristics among Wake County detainees," Final project report prepared for the Wake County Manager and Board of Commissioners, Raleigh, NC.
  • Rose, E.*, Laber, E.B., Davidian, M., Tsiatis, A.A. (2017) "Q-learning," Wiley StatsRef: Statistics Reference Online.
  • 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.
  • Investigator, "Forensic Geolocation via Biological Signatures," (PI Faith, $1,115,000, 2016-2017), DOD.
  • 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
  • Statistics 758: Computing - fall 2015