Set-valued dynamic treatment regimes for competing outcomes.
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Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategyMulti-Objective Markov Decision Processes for Data-Driven Decision SupportEstimation of optimal dynamic treatment regimesInteractive model building for Q-learning.University of Pennsylvania 6th annual conference on statistical issues in clinical trials: Dynamic treatment regimes (morning session).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-learningLinear Fitted-Q Iteration with Multiple Reward Functions.Prediction and tolerance intervals for dynamic treatment regimes.Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules.Personalized Dose Finding Using Outcome Weighted Learning.Interactive Q-learning for Quantiles.
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Set-valued dynamic treatment regimes for competing outcomes.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 08 January 2014
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Set-valued dynamic treatment regimes for competing outcomes.
@en
Set-valued dynamic treatment regimes for competing outcomes.
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type
label
Set-valued dynamic treatment regimes for competing outcomes.
@en
Set-valued dynamic treatment regimes for competing outcomes.
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prefLabel
Set-valued dynamic treatment regimes for competing outcomes.
@en
Set-valued dynamic treatment regimes for competing outcomes.
@nl
P2093
P2860
P356
P1433
P1476
Set-valued dynamic treatment regimes for competing outcomes.
@en
P2093
Bradley Ferguson
Daniel J Lizotte
Eric B Laber
P2860
P356
10.1111/BIOM.12132
P407
P577
2014-01-08T00:00:00Z