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Eric B. Laber, Ph.D. - Publications

Affiliations: 
2011 University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
Statistics
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48 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Manschot C, Laber E, Davidian M. Interim monitoring of sequential multiple assignment randomized trials using partial information. Biometrics. PMID 36896962 DOI: 10.1111/biom.13854  0.363
2021 Luckett DJ, Laber EB, Kim S, Kosorok MR. Estimation and Optimization of Composite Outcomes. Journal of Machine Learning Research : Jmlr. 22. PMID 34733120  0.338
2021 Rashid NU, Luckett DJ, Chen J, Lawson MT, Wang L, Zhang Y, Laber EB, Liu Y, Yeh JJ, Zeng D, Kosorok MR. High-Dimensional Precision Medicine From Patient-Derived Xenografts. Journal of the American Statistical Association. 116: 1140-1154. PMID 34548714 DOI: 10.1080/01621459.2020.1828091  0.566
2020 Guan Q, Reich BJ, Laber EB, Bandyopadhyay D. Bayesian Nonparametric Policy Search with Application to Periodontal Recall Intervals. Journal of the American Statistical Association. 115: 1066-1078. PMID 33012901 DOI: 10.1080/01621459.2019.1660169  0.42
2020 Luckett DJ, Laber EB, Kahkoska AR, Maahs DM, Mayer-Davis E, Kosorok MR. Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning. Journal of the American Statistical Association. 115: 692-706. PMID 32952236 DOI: 10.1080/01621459.2018.1537919  0.485
2020 Luckett DJ, Laber EB, El-Kamary SS, Fan C, Jhaveri R, Perou CM, Shebl FM, Kosorok MR. Receiver operating characteristic curves and confidence bands for support vector machines. Biometrics. PMID 32865820 DOI: 10.1111/Biom.13365  0.33
2020 Dong L, Laber E, Goldberg Y, Song R, Yang S. Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness. Statistics in Medicine. PMID 32729973 DOI: 10.1002/Sim.8678  0.497
2019 Hu W, Laber EB, Barker C, Stefanski LA. Assessing Tuning Parameter Selection Variability in Penalized Regression. Technometrics : a Journal of Statistics For the Physical, Chemical, and Engineering Sciences. 61: 154-164. PMID 31534281 DOI: 10.1080/00401706.2018.1513380  0.315
2019 Zhao YQ, Laber EB, Ning Y, Saha S, Sands BE. Efficient augmentation and relaxation learning for individualized treatment rules using observational data. Journal of Machine Learning Research : Jmlr. 20. PMID 31440118  0.393
2018 Zhang Y, Laber EB, Davidian M, Tsiatis AA. Interpretable Dynamic Treatment Regimes. Journal of the American Statistical Association. 113: 1541-1549. PMID 30774169 DOI: 10.1080/01621459.2017.1345743  0.524
2018 Laber EB, Meyer NJ, Reich BJ, Pacifici K, Collazo JA, Drake JM. Optimal treatment allocations in space and time for on-line control of an emerging infectious disease. Journal of the Royal Statistical Society. Series C, Applied Statistics. 67: 743-770. PMID 30662097 DOI: 10.1111/Rssc.12266  0.404
2018 Laber EB, Wu F, Munera C, Lipkovich I, Colucci S, Ripa S. Identifying optimal dosage regimes under safety constraints: An application to long term opioid treatment of chronic pain. Statistics in Medicine. PMID 29468702 DOI: 10.1002/Sim.7566  0.485
2017 Laber EB, Staicu AM. Functional feature construction for individualized treatment regimes. Journal of the American Statistical Association. 113: 1219-1227. PMID 30416232 DOI: 10.1080/01621459.2017.1321545  0.454
2017 Linn KA, Laber EB, Stefanski LA. Interactive Q-learning for Quantiles. Journal of the American Statistical Association. 112: 638-649. PMID 28890584 DOI: 10.1080/01621459.2016.1155993  0.504
2017 Shortreed SM, Laber E, Scott Stroup T, Pineau J, Murphy SA. A multiple imputation strategy for sequential multiple assignment randomized trials. Statistics in Medicine. 36: 3760. PMID 28872255 DOI: 10.1002/Sim.7285  0.497
2017 Butler EL, Laber EB, Davis SM, Kosorok MR. Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules. Biometrics. PMID 28742260 DOI: 10.1111/Biom.12743  0.464
2017 Laber EB, Davidian M. Dynamic treatment regimes, past, present, and future: A conversation with experts. Statistical Methods in Medical Research. 962280217708661. PMID 28482753 DOI: 10.1177/0962280217708661  0.341
2017 Kelleher SA, Dorfman CS, Plumb Vilardaga JC, Majestic C, Winger J, Gandhi V, Nunez C, Van Denburg A, Shelby RA, Reed SD, Murphy S, Davidian M, Laber EB, Kimmick GG, Westbrook KW, et al. Optimizing delivery of a behavioral pain intervention in cancer patients using a sequential multiple assignment randomized trial SMART. Contemporary Clinical Trials. PMID 28408335 DOI: 10.1016/J.Cct.2017.04.001  0.504
2016 Huang Y, Laber E. Personalized Evaluation of Biomarker Value: A Cost-Benefit Perspective. Statistics in Biosciences. 8: 43-65. PMID 27446505 DOI: 10.1007/S12561-014-9122-4  0.424
2016 Zhang B, A. Tsiatis A, Davidian M, Zhang M, Laber E. Estimating optimal treatment regimes from a classification perspective Stat. 5: 278-278. DOI: 10.1002/sta4.124  0.316
2015 Linn KA, Laber EB, Stefanski LA. iqLearn: Interactive Q-Learning in R. Journal of Statistical Software. 64. PMID 26900385 DOI: 10.18637/Jss.V064.I01  0.454
2015 Laber EB, Zhao YQ. Tree-based methods for individualized treatment regimes. Biometrika. 102: 501-514. PMID 26893526 DOI: 10.1093/Biomet/Asv028  0.506
2015 Laber EB, Zhao YQ, Regh T, Davidian M, Tsiatis A, Stanford JB, Zeng D, Song R, Kosorok MR. Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy. Statistics in Medicine. PMID 26506890 DOI: 10.1002/Sim.6783  0.616
2015 Zhao YQ, Zeng D, Laber EB, Kosorok MR. New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes. Journal of the American Statistical Association. 110: 583-598. PMID 26236062 DOI: 10.1080/01621459.2014.937488  0.578
2015 Zhang Y, Laber EB, Tsiatis A, Davidian M. Using decision lists to construct interpretable and parsimonious treatment regimes. Biometrics. PMID 26193819 DOI: 10.1111/Biom.12354  0.5
2015 Zhao YQ, Zeng D, Laber EB, Song R, Yuan M, Kosorok MR. Doubly Robust Learning for Estimating Individualized Treatment with Censored Data. Biometrika. 102: 151-168. PMID 25937641 DOI: 10.1093/Biomet/Asu050  0.599
2015 Song R, Kosorok M, Zeng D, Zhao Y, Laber E, Yuan M. On Sparse representation for Optimal Individualized Treatment Selection with Penalized Outcome Weighted Learning. Stat. 4: 59-68. PMID 25883393 DOI: 10.1002/sta4.78  0.564
2015 Wu F, Laber EB, Lipkovich IA, Severus E. 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: 7. PMID 25844303 DOI: 10.1186/S40345-014-0018-5  0.447
2015 Huang Y, Laber EB, Janes H. Characterizing expected benefits of biomarkers in treatment selection. Biostatistics (Oxford, England). 16: 383-99. PMID 25190512 DOI: 10.1093/Biostatistics/Kxu039  0.448
2015 Severus E, Laber E, Lipkovich I. Double-Blind Randomized Placebo-Controlled Trials in the Treatment of Affective Disorders: Problems and Alternatives Current Treatment Options in Psychiatry. 2: 262-270. DOI: 10.1007/S40501-015-0050-9  0.421
2014 Schulte PJ, Tsiatis AA, Laber EB, Davidian M. Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes. Statistical Science : a Review Journal of the Institute of Mathematical Statistics. 29: 640-661. PMID 25620840 DOI: 10.1214/13-Sts450  0.497
2014 Laber EB, Linn KA, Stefanski LA. Interactive model building for Q-learning. Biometrika. 101: 831-847. PMID 25541562 DOI: 10.1093/Biomet/Asu043  0.402
2014 Laber EB, Lizotte DJ, Qian M, Pelham WE, Murphy SA. Dynamic treatment regimes: technical challenges and applications. Electronic Journal of Statistics. 8: 1225-1272. PMID 25356091 DOI: 10.1214/14-Ejs920  0.597
2014 Chakraborty B, Laber EB, Zhao YQ. Inference about the expected performance of a data-driven dynamic treatment regime. Clinical Trials (London, England). 11: 408-417. PMID 24925083 DOI: 10.1177/1740774514537727  0.445
2014 Shortreed SM, Laber E, Scott Stroup T, Pineau J, Murphy SA. A multiple imputation strategy for sequential multiple assignment randomized trials. Statistics in Medicine. 33: 4202-14. PMID 24919867 DOI: 10.1002/Sim.6223  0.569
2014 Laber EB, Tsiatis AA, Davidian M, Holloway ST. Discussion of "Combining biomarkers to optimize patient treatment recommendation". Biometrics. 70: 707-10. PMID 24888979 DOI: 10.1111/Biom.12187  0.377
2014 Zhao YQ, Laber EB. Estimation of optimal dynamic treatment regimes. Clinical Trials (London, England). 11: 400-407. PMID 24872361 DOI: 10.1177/1740774514532570  0.472
2014 Laber EB, Lizotte DJ, Ferguson B. Set-valued dynamic treatment regimes for competing outcomes. Biometrics. 70: 53-61. PMID 24400912 DOI: 10.1111/Biom.12132  0.458
2014 Laber EB, Lizotte DJ, Qian M, Pelham WE, Murphy SA. Rejoinder of “Dynamic treatment regimes: Technical challenges and applications” Electronic Journal of Statistics. 8: 1312-1321. DOI: 10.1214/14-Ejs920Rej  0.532
2013 Zhang B, Tsiatis AA, Laber EB, Davidian M. Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions. Biometrika. 100. PMID 24302771 DOI: 10.1093/Biomet/Ast014  0.499
2013 Vock DM, Tsiatis AA, Davidian M, Laber EB, Tsuang WM, Finlen Copeland CA, Palmer SM. Assessing the causal effect of organ transplantation on the distribution of residual lifetime. Biometrics. 69: 820-9. PMID 24128090 DOI: 10.1111/Biom.12084  0.317
2013 Chakraborty B, Laber EB, Zhao Y. Inference for optimal dynamic treatment regimes using an adaptive m-out-of-n bootstrap scheme. Biometrics. 69: 714-23. PMID 23845276 DOI: 10.1111/Biom.12052  0.448
2012 Zhang B, Tsiatis AA, Davidian M, Zhang M, Laber E. Estimating Optimal Treatment Regimes from a Classification Perspective. Stat. 1: 103-114. PMID 23645940 DOI: 10.1002/sta.411  0.398
2012 Zhang B, Tsiatis AA, Laber EB, Davidian M. A robust method for estimating optimal treatment regimes. Biometrics. 68: 1010-8. PMID 22550953 DOI: 10.1111/J.1541-0420.2012.01763.X  0.508
2011 Laber EB, Murphy SA. Adaptive Confidence Intervals for the Test Error in Classification. Journal of the American Statistical Association. 106: 904-913. PMID 22053123 DOI: 10.1198/Jasa.2010.Tm10053  0.502
2011 Shortreed SM, Laber E, Lizotte DJ, Stroup TS, Pineau J, Murphy SA. Informing sequential clinical decision-making through reinforcement learning: an empirical study. Machine Learning. 84: 109-136. PMID 21799585 DOI: 10.1007/S10994-010-5229-0  0.562
2011 Laber EB, Murphy SA. Rejoinder Journal of the American Statistical Association. 106: 940-945. DOI: 10.1198/jasa.2011.tm11514  0.322
2008 Laber EB, Murphy SA. Small Sample Inference for Generalization Error in Classification Using the CUD Bound. Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference On Uncertainty in Artificial Intelligence. 2008: 357-365. PMID 20508837  0.457
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