Papers, money, and courses galore!

*(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.,**Lizotte, D.J., Qian, M., Pehlam, W.E., Murphy, S.A. (2014) "Rejoinder: Dynamic treatment regimes: technical challenges and applications,"*Electronic Journal of Statistics,*8(1), 1312-1321.**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.**Laber, E.B.,**Murphy, S.A. (2011) "Rejoinder: Adaptive Confidence Intervals for the Test Error in Classification,"*Journal of the American Statistical Association,*106(495), 940-945.- 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.*

- 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.*

- 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.

**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*