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Eric B Laber
Susan A Murphy

Showing results (51-60 of 145) with videos related to

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Advances in Neural Information Processing Systems|June 27, 2022
Statistical Inference with M-Estimators on Adaptively Collected DataKelly W Zhang, Lucas Janson, Susan A Murphy
American Journal of Preventive Medicine|May 1, 2007
The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventionsLinda M Collins, Susan A Murphy, Victor Strecher
Journal of Machine Learning Research : JMLR|June 7, 2013
Linear Fitted-Q Iteration with Multiple Reward FunctionsDaniel J Lizotte, Michael Bowling, Susan A Murphy
Statistics in Medicine|April 24, 2023
Sample size considerations for micro-randomized trials with binary proximal outcomesEric R Cohn, Tianchen Qian, Susan A Murphy
Advances in Neural Information Processing Systems|January 10, 2022
Inference for Batched BanditsKelly W Zhang, Lucas Janson, Susan A Murphy
Journal of the American Statistical Association|April 2, 2013
SMART Design Issues and the Consideration of Opposing Outcomes: Discussion of "Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer" by by Wang, Rotnitzky, Lin, Millikan, and ThallDaniel Almirall, Daniel J Lizotte, Susan A Murphy
Biometrics|April 29, 2009
Structural nested mean models for assessing time-varying effect moderationDaniel Almirall, Thomas Ten Have, Susan A Murphy
Drug and Alcohol Dependence|March 14, 2007
Customizing treatment to the patient: adaptive treatment strategiesSusan A Murphy, L M Collins, A John Rush
Statistics in Medicine|December 29, 2015
Sample size calculations for micro-randomized trials in mHealthPeng Liao, Predrag Klasnja, Ambuj Tewari, et al.
Annals of Operations Research|September 20, 2013
Batch Mode Reinforcement Learning based on the Synthesis of Artificial TrajectoriesRaphael Fonteneau, Susan A Murphy, Louis Wehenkel, et al.
Pageof 15

Showing results (51-60 of 145) with videos related to

Sort By:
Pageof 15
Advances in Neural Information Processing Systems|June 27, 2022
Statistical Inference with M-Estimators on Adaptively Collected DataKelly W Zhang, Lucas Janson, Susan A Murphy
American Journal of Preventive Medicine|May 1, 2007
The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventionsLinda M Collins, Susan A Murphy, Victor Strecher
Journal of Machine Learning Research : JMLR|June 7, 2013
Linear Fitted-Q Iteration with Multiple Reward FunctionsDaniel J Lizotte, Michael Bowling, Susan A Murphy
Statistics in Medicine|April 24, 2023
Sample size considerations for micro-randomized trials with binary proximal outcomesEric R Cohn, Tianchen Qian, Susan A Murphy
Advances in Neural Information Processing Systems|January 10, 2022
Inference for Batched BanditsKelly W Zhang, Lucas Janson, Susan A Murphy
Journal of the American Statistical Association|April 2, 2013
SMART Design Issues and the Consideration of Opposing Outcomes: Discussion of "Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer" by by Wang, Rotnitzky, Lin, Millikan, and ThallDaniel Almirall, Daniel J Lizotte, Susan A Murphy
Biometrics|April 29, 2009
Structural nested mean models for assessing time-varying effect moderationDaniel Almirall, Thomas Ten Have, Susan A Murphy
Drug and Alcohol Dependence|March 14, 2007
Customizing treatment to the patient: adaptive treatment strategiesSusan A Murphy, L M Collins, A John Rush
Statistics in Medicine|December 29, 2015
Sample size calculations for micro-randomized trials in mHealthPeng Liao, Predrag Klasnja, Ambuj Tewari, et al.
Annals of Operations Research|September 20, 2013
Batch Mode Reinforcement Learning based on the Synthesis of Artificial TrajectoriesRaphael Fonteneau, Susan A Murphy, Louis Wehenkel, et al.
Pageof 15