팔로우
Eric Laber
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연도
A robust method for estimating optimal treatment regimes
B Zhang, AA Tsiatis, EB Laber, M Davidian
Biometrics 68 (4), 1010-1018, 2012
4622012
Estimating optimal treatment regimes from a classification perspective
B Zhang, AA Tsiatis, M Davidian, M Zhang, E Laber
Stat 1 (1), 103-114, 2012
2912012
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
2432015
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
2432014
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
2362015
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
1982013
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 (1), 109-136, 2011
1922011
Tree-based methods for individualized treatment regimes
EB Laber, YQ Zhao
Biometrika 102 (3), 501-514, 2015
1622015
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
1562014
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
1432015
Precision medicine
MR Kosorok, EB Laber
Annual review of statistics and its application 6, 263, 2019
1362019
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
1152013
Using decision lists to construct interpretable and parsimonious treatment regimes
Y Zhang, EB Laber, A Tsiatis, M Davidian
Biometrics 71 (4), 895-904, 2015
1002015
Interactive model building for Q-learning
EB Laber, KA Linn, LA Stefanski
Biometrika 101 (4), 831-847, 2014
892014
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
782019
Set‐valued dynamic treatment regimes for competing outcomes
EB Laber, DJ Lizotte, B Ferguson
Biometrics 70 (1), 53-61, 2014
752014
Dynamic treatment regimes: Statistical methods for precision medicine
AA Tsiatis, M Davidian, ST Holloway, EB Laber
Chapman and Hall/CRC, 2019
702019
Adaptive confidence intervals for the test error in classification
EB Laber, SA Murphy
Journal of the American Statistical Association 106 (495), 904-913, 2011
702011
Fungi identify the geographic origin of dust samples
NS Grantham, BJ Reich, K Pacifici, EB Laber, HL Menninger, JB Henley, ...
PloS one 10 (4), e0122605, 2015
582015
Multi-objective Markov decision processes for data-driven decision support
DJ Lizotte, EB Laber
The Journal of Machine Learning Research 17 (1), 7378-7405, 2016
552016
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학술자료 1–20