About
Discord Stateoftheart AI
GitHub

Publications

134

Cited by

2689

Eric Laber

dynamic treatment regimesnonregular asymptoticsmachine learningoptimizationbootstrap
North Carolina State University

United States

Papers and Citations

1 - 50
Optimal Dynamic Treatment Regimes
2014
Eric Laber
Marie Davidian
Anastasios Tsiatis
Cited by 727
Linear Causal Modeling With Structural Equations
2013
Eric Laber
Cited by 366
A robust method for estimating optimal treatment regimes
2012
Marie Davidian
Eric Laber
Anastasios Tsiatis
+1
Cited by 355
Estimating optimal treatment regimes from a classification perspective
2012
Min Zhang
Eric Laber
Marie Davidian
+2
Cited by 221
New statistical learning methods for estimating optimal dynamic treatment regimes
2015
Michael R. Kosorok
Yishi Zhao
Eric Laber
+1
Cited by 163
The ecology of microscopic life in household dust
2015
Holly L Menninger
Krishna Pacifici
Shelly L Miller
+8
Cited by 162
Q-and A-learning methods for estimating optimal dynamic treatment regimes
2014
Anastasios Tsiatis
Eric Laber
Phillip Schulte
+1
Cited by 157
Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions
2013
Eric Laber
Anastasios Tsiatis
Marie Davidian
+1
Cited by 153
Informing sequential clinical decision-making through reinforcement learning: an empirical study
2011
Joelle Pineau
Eric Laber
Susan Shortreed
+3
Cited by 131
Dynamic Treatment Regimes
2016
Eric Laber
Marie Davidian
Anastasios Tsiatis
Cited by 119
Dynamic treatment regimes: Technical challenges and applications
2014
Daniel Lizotte
Eric Laber
William E. Pelham Jr.
+2
Cited by 116
Tree-based methods for individualized treatment regimes
2015
Eric Laber
Yishi Zhao
Cited by 110
Doubly robust learning for estimating individualized treatment with censored data
2015
Yishi Zhao
Ming Yuan
Rui Song
+3
Cited by 102
Using decision lists to construct interpretable and parsimonious treatment regimes
2015
Anastasios Tsiatis
Eric Laber
Yichi Zhang
+1
Cited by 78
Adaptive confidence intervals for the test error in classification
2011
Susan Murphy
Eric Laber
Cited by 65
Interactive model building for Q-learning
2014
Leonard Stefanski
Eric Laber
Kristin Linn
Cited by 63
Set‐valued dynamic treatment regimes for competing outcomes
2014
B Ferguson
Eric Laber
Daniel Lizotte
Cited by 60
Fungi identify the geographic origin of dust samples
2015
Holly L Menninger
Brian J Reich
Neal S Grantham
+7
Cited by 43
A multiple imputation strategy for sequential multiple assignment randomized trials
2014
T Scott Stroup
SA Murphy
Susan Shortreed
+2
Cited by 40
Statistical inference in dynamic treatment regimes
2010
SA Murphy
Eric Laber
William E. Pelham Jr.
+2
Cited by 37
Inference about the expected performance of a data-driven dynamic treatment regime
2014
Yishi Zhao
Bibhas Chakraborty
Eric Laber
Cited by 37
Multi-objective Markov decision processes for data-driven decision support
2016
Daniel Lizotte
Eric Laber
Cited by 34
Estimating dynamic treatment regimes in mobile health using V-learning
2020
Daniel J Luckett
Elizabeth Mayer-Davis
Eric Laber
+3
Cited by 30
On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning
2015
D Zeng
Michael R. Kosorok
Eric Laber
+3
Cited by 26
Using pilot data to size a two‐arm randomized trial to find a nearly optimal personalized treatment strategy
2016
Anastasios Tsiatis
Donglin Zeng
Todd Regh
+6
Cited by 23
Interpretable dynamic treatment regimes
2018
AA Tsiatis
Marie Davidian
Eric Laber
+1
Cited by 23
Optimal treatment allocations in space and time for on-line control of an emerging infectious disease
2018
NJ Meyer
Krishna Pacifici
Eric Laber
+1
Cited by 21
Optimal treatment allocations in space and time for on‐line control of an emerging infectious disease
2018
Brian J Reich
Krishna Pacifici
Eric Laber
+3
Cited by 21
Estimation of optimal dynamic treatment regimes
2014
Yishi Zhao
Eric Laber
Cited by 20
Efficient augmentation and relaxation learning for individualized treatment rules using observational data.
2019
Y Ning
S Saha
Yingqi Zhao
+2
Cited by 20
A batch, off-policy, actor-critic algorithm for optimizing the average reward
2016
K Witkiewitz
Y Deng
Hamid Maei
+3
Cited by 19
Statistical Significance and the Dichotomization of Evidence: The Relevance of the ASA Statement on Statistical Significance and p-values for Statisticians
2017
Kerby Shedden
Eric Laber
Cited by 18
Incorporating patient preferences into estimation of optimal individualized treatment rules
2018
EL Butler
SM Davis
Eric Laber
+1
Cited by 16
Characterizing expected benefits of biomarkers in treatment selection
2015
H Janes
Eric Laber
Ying Huang
Cited by 16
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
2015
F Wu
Emanuel Severus
Eric Laber
+1
Cited by 14
Functional feature construction for individualized treatment regimes
2018
Ana-Maria Staicu
Eric Laber
Cited by 13
Assessing the causal effect of organ transplantation on the distribution of residual lifetime
2013
Scott M Palmer
Wayne M Tsuang
C Ashley Finlen Copeland
+4
Cited by 13
Q-learning: Theory and applications
2020
J Clifton
Eric Laber
Cited by 11
Optimizing delivery of a behavioral pain intervention in cancer patients using a sequential multiple assignment randomized trial SMART
2017
Amy P Abernethy
Alyssa Van Denburg
Jen C Plumb Vilardaga
+14
Cited by 9
Associations between anesthetic variables and functional outcome in dogs with thoracolumbar intervertebral disk extrusion undergoing decompressive hemilaminectomy
2017
CA Rousse
S De Decker
KR Muñana
+7
Cited by 8
Missing data and uncertainty in batch reinforcement learning
2008
L Gunter
SA Murphy
Eric Laber
+1
Cited by 8
Time course and prognostic value of serum GFAP, pNFH, and S100β concentrations in dogs with complete spinal cord injury because of intervertebral disc extrusion
2019
Natalia Zidan
Peter J Early
Nikki Wagner
+5
Cited by 8
Identifying optimal dosage regimes under safety constraints: An application to long term opioid treatment of chronic pain
2018
F Wu
C Munera
S Colucci
+3
Cited by 7
Rejoinder of “Dynamic treatment regimes: Technical challenges and applications
2014
Susan Murphy
Daniel Lizotte
William E. Pelham Jr.
+2
Cited by 7
iqLearn: Interactive Q-learning in R
2015
Leonard Stefanski
Kristin Linn
Eric Laber
Cited by 7
Small sample inference for generalization error in classification using the CUD bound
2008
Susan Murphy
Eric Laber
Cited by 6
Quantifying center of pressure variability in chondrodystrophoid dogs
2017
AM Gorney
KD Williams
SR Blau
+7
Cited by 6
Interactive Q-learning for probabilities and quantiles
2014
Kristin Linn
Leonard Stefanski
Eric Laber
Cited by 5
Use of standardized bioinformatics for the analysis of fungal DNA signatures applied to sample provenance
2020
Jesse Clifton
Seth A Faith
Brian J Reich
+6
Cited by 5
Estimation and optimization of composite outcomes
2017
DJ Luckett
Eric Laber
Michael R. Kosorok
Cited by 4