Eric B. Laber, Ph.D. - Publications

2011 University of Michigan, Ann Arbor, Ann Arbor, MI 

38 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
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  0.32
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  0.32
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  0.32
2019 Kosorok MR, Laber EB. Precision Medicine. Annual Review of Statistics and Its Application. 6: 263-286. PMID 31073534 DOI: 10.1146/annurev-statistics-030718-105251  0.32
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  0.32
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  0.76
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  0.32
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  0.32
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  0.32
2016 Lizotte DJ, Laber EB. Multi-Objective Markov Decision Processes for Data-Driven Decision Support. Journal of Machine Learning Research : Jmlr. 17. PMID 28018133  0.56
2016 Rodrigues PC, Laber E. Preface Communications in Statistics: Simulation and Computation. 45: 2657. DOI: 10.1080/03610918.2015.1111110  0.32
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  0.76
2015 Laber EB, Zhao YQ. Tree-based methods for individualized treatment regimes. Biometrika. 102: 501-514. PMID 26893526 DOI: 10.1093/biomet/asv028  0.76
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  0.32
2015 Barberán A, Dunn RR, Reich BJ, Pacifici K, Laber EB, Menninger HL, Morton JM, Henley JB, Leff JW, Miller SL, Fierer N. The ecology of microscopic life in household dust. Proceedings. Biological Sciences / the Royal Society. 282. PMID 26311665 DOI: 10.1098/rspb.2015.1139  0.76
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  0.76
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  0.76
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  0.76
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  0.32
2015 Grantham NS, Reich BJ, Pacifici K, Laber EB, Menninger HL, Henley JB, Barberán A, Leff JW, Fierer N, Dunn RR. Fungi identify the geographic origin of dust samples. Plos One. 10: e0122605. PMID 25875229 DOI: 10.1371/journal.pone.0122605  0.76
2015 Zhang B, Tsiatis AA, Laber EB, Davidian M. Response to reader reaction. Biometrics. 71: 271-3. PMID 25355405 DOI: 10.1111/biom.12229  0.76
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  0.76
2015 Zhang Y, Laber EB. Comment Journal of the American Statistical Association. 110: 1451-1454. DOI: 10.1080/01621459.2015.1106403  0.76
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  0.76
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  0.76
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  0.76
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  0.76
2014 Zhao YQ, Laber EB. Estimation of optimal dynamic treatment regimes. Clinical Trials (London, England). 11: 400-407. PMID 24872361 DOI: 10.1177/1740774514532570  0.76
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  0.76
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  0.76
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  0.76
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  0.76
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  0.76
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  0.76
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  0.76
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.tm1005  0.76
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  0.76
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  0.76
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