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Eric B. Laber
Eric B. Laber
Otros nombresE.B. Laber, E. Laber, Eric Laber
James B. Duke Professor of Biostatistics and Bioinformatics and Statistical Science, Duke University
Dirección de correo verificada de duke.edu - Página principal
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Año
A robust method for estimating optimal treatment regimes
B Zhang, AA Tsiatis, EB Laber, M Davidian
Biometrics 68 (4), 1010-1018, 2012
5552012
Precision medicine
MR Kosorok, EB Laber
Annual review of statistics and its application 6, 263-286, 2019
3512019
Estimating optimal treatment regimes from a classification perspective
B Zhang, AA Tsiatis, M Davidian, M Zhang, E Laber
Stat 1 (1), 103-114, 2012
3412012
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
3092015
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
3022014
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
3012015
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
2542013
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
2442011
Tree-based methods for individualized treatment regimes
EB Laber, YQ Zhao
Biometrika 102 (3), 501-514, 2015
2192015
Q-learning: Theory and applications
J Clifton, E Laber
Annual Review of Statistics and Its Application 7, 279-301, 2020
2062020
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
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
1782019
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
1542019
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
1322015
Interactive model building for Q-learning
EB Laber, KA Linn, LA Stefanski
Biometrika 101 (4), 831-847, 2014
1042014
Set‐valued dynamic treatment regimes for competing outcomes
EB Laber, DJ Lizotte, B Ferguson
Biometrics 70 (1), 53-61, 2014
912014
Adaptive confidence intervals for the test error in classification
EB Laber, SA Murphy
Journal of the American Statistical Association 106 (495), 904-913, 2011
782011
Interpretable dynamic treatment regimes
Y Zhang, EB Laber, M Davidian, AA Tsiatis
Journal of the American Statistical Association 113 (524), 1541-1549, 2018
772018
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