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Eric B. Laber
Eric B. Laber
Other namesE.B. Laber, E. Laber, Eric Laber
James B. Duke Professor of Biostatistics and Bioinformatics and Statistical Science, Duke University
Verified email at duke.edu - Homepage
Title
Cited by
Cited by
Year
A robust method for estimating optimal treatment regimes
B Zhang, AA Tsiatis, EB Laber, M Davidian
Biometrics 68 (4), 1010-1018, 2012
5532012
Precision medicine
MR Kosorok, EB Laber
Annual review of statistics and its application 6, 263-286, 2019
3452019
Estimating optimal treatment regimes from a classification perspective
B Zhang, AA Tsiatis, M Davidian, M Zhang, E Laber
Stat 1 (1), 103-114, 2012
3372012
New statistical learning methods for estimating optimal dynamic treatment regimes
YQ Zhao, D Zeng, EB Laber, MR Kosorok
Journal of the American Statistical Association 110 (510), 583-598, 2015
3072015
The ecology of microscopic life in household dust
A Barberán, RR Dunn, BJ Reich, K Pacifici, EB Laber, HL Menninger, ...
Proceedings of the Royal Society B: Biological Sciences 282 (1814), 20151139, 2015
2992015
Q-and A-learning methods for estimating optimal dynamic treatment regimes
PJ Schulte, AA Tsiatis, EB Laber, M Davidian
Statistical science: a review journal of the Institute of Mathematical …, 2014
2992014
Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions
B Zhang, AA Tsiatis, EB Laber, M Davidian
Biometrika 100 (3), 681-694, 2013
2532013
Informing sequential clinical decision-making through reinforcement learning: an empirical study
SM Shortreed, E Laber, DJ Lizotte, TS Stroup, J Pineau, SA Murphy
Machine learning 84, 109-136, 2011
2422011
Tree-based methods for individualized treatment regimes
EB Laber, YQ Zhao
Biometrika 102 (3), 501-514, 2015
2172015
Dynamic treatment regimes: Technical challenges and applications
EB Laber, DJ Lizotte, M Qian, WE Pelham, SA Murphy
Electronic journal of statistics 8 (1), 1225, 2014
2032014
Q-learning: Theory and applications
J Clifton, E Laber
Annual Review of Statistics and Its Application 7, 279-301, 2020
1952020
Doubly robust learning for estimating individualized treatment with censored data
YQ Zhao, D Zeng, EB Laber, R Song, M Yuan, MR Kosorok
Biometrika 102 (1), 151-168, 2015
1852015
Dynamic treatment regimes: Statistical methods for precision medicine
AA Tsiatis, M Davidian, ST Holloway, EB Laber
Chapman and Hall/CRC, 2019
1762019
Estimating dynamic treatment regimes in mobile health using v-learning
DJ Luckett, EB Laber, AR Kahkoska, DM Maahs, E Mayer-Davis, ...
Journal of the American Statistical Association, 2019
1482019
Inference for Optimal Dynamic Treatment Regimes Using an Adaptive m-Out-of-n Bootstrap Scheme
B Chakraborty, EB Laber, Y Zhao
Biometrics 69 (3), 714-723, 2013
1442013
Using decision lists to construct interpretable and parsimonious treatment regimes
Y Zhang, EB Laber, A Tsiatis, M Davidian
Biometrics 71 (4), 895-904, 2015
1312015
Interactive model building for Q-learning
EB Laber, KA Linn, LA Stefanski
Biometrika 101 (4), 831-847, 2014
1032014
Set‐valued dynamic treatment regimes for competing outcomes
EB Laber, DJ Lizotte, B Ferguson
Biometrics 70 (1), 53-61, 2014
902014
Adaptive confidence intervals for the test error in classification
EB Laber, SA Murphy
Journal of the American Statistical Association 106 (495), 904-913, 2011
772011
Interpretable dynamic treatment regimes
Y Zhang, EB Laber, M Davidian, AA Tsiatis
Journal of the American Statistical Association 113 (524), 1541-1549, 2018
752018
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