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Biostatistics (Oxford, England)|September 6, 2014
Characterizing expected benefits of biomarkers in treatment selectionYing Huang, Eric B Laber, Holly JanesClinical Therapeutics|January 21, 2022
Reinforcement Learning Methods in Public HealthJustin Weltz, Alex Volfovsky, Eric B LaberBiometrics|July 13, 2013
Inference for optimal dynamic treatment regimes using an adaptive m-out-of-n bootstrap schemeBibhas Chakraborty, Eric B Laber, Yingqi ZhaoBiostatistics (Oxford, England)|April 10, 2021
A spatiotemporal recommendation engine for malaria controlQian Guan, Brian J Reich, Eric B LaberJournal of Healthcare Informatics Research|April 14, 2022
Analyzing Patient Stories on Social Media Using Text AnalyticsMoutasem A Zakkar, Daniel J LizotteClinical Trials (London, England)|June 14, 2014
Inference about the expected performance of a data-driven dynamic treatment regimeBibhas Chakraborty, Eric B Laber, Ying-Qi ZhaoBiometrika|December 27, 2014
Interactive model building for Q-learningEric B Laber, Kristin A Linn, Leonard A StefanskiJournal of Statistical Software|February 23, 2016
iqLearn: Interactive Q-Learning in RKristin A Linn, Eric B Laber, Leonard A StefanskiJournal of the American Statistical Association|September 12, 2017
Interactive Q-learning for QuantilesKristin A Linn, Eric B Laber, Leonard A StefanskiBiometrics|July 22, 2015
Using decision lists to construct interpretable and parsimonious treatment regimesYichi Zhang, Eric B Laber, Anastasios Tsiatis, et al.Pageof 10