Q-learning: a data analysis method for constructing adaptive interventions. - Wikidata - thesis-toulmin - TriplyDB

Q-learning: a data analysis method for constructing adaptive interventions.

Q-learning: a data analysis method for constructing adaptive interventions.

http://www.wikidata.org/entity/Q30571533

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A "SMART" design for building individualized treatment sequences Dynamic Treatment Regimes Inference about the expected performance of a data-driven dynamic treatment regime.Optimization of multi-stage dynamic treatment regimes utilizing accumulated data Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy Time-varying SMART design and data analysis methods for evaluating adaptive intervention effects Optimization of individualized dynamic treatment regimes for recurrent diseases.Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research.A multiple imputation strategy for sequential multiple assignment randomized trials Dynamic treatment regimes: technical challenges and applications Introduction to dynamic treatment strategies and sequential multiple assignment randomization.Estimation of optimal dynamic treatment regimes Optimization of behavioral dynamic treatment regimens based on the sequential, multiple assignment, randomized trial (SMART).Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes.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 Targeted Learning of the Mean Outcome under an Optimal Dynamic Treatment Rule.A SMART data analysis method for constructing adaptive treatment strategies for substance use disorders.SMARTer discontinuation trial designs for developing an adaptive treatment strategy.A randomized preference trial to inform personalization of a parent training program implemented in community mental health clinics Q-learning residual analysis: application to the effectiveness of sequences of antipsychotic medications for patients with schizophrenia Adaptive Interventions in Child and Adolescent Mental Health The BestFIT trial: A SMART approach to developing individualized weight loss treatments.Estimating optimal shared-parameter dynamic regimens with application to a multistage depression clinical trial.Set-valued dynamic treatment regimes for competing outcomes.Personalizing medicine: a review of adaptive treatment strategies.Prediction and tolerance intervals for dynamic treatment regimes.Comparing treatment policies with assistance from the structural nested mean model.Sequential, Multiple Assignment, Randomized Trial Designs in Immuno-Oncology Research.Program for lung cancer screening and tobacco cessation: Study protocol of a sequential, multiple assignment, randomized trial.New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes.Adaptive Interventions and SMART Designs: Application to child behavior research in a community setting.Developing adaptive interventions for adolescent substance use treatment settings: protocol of an observational, mixed-methods project.Change-point detection for infinite horizon dynamic treatment regimes.

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Q-learning: a data analysis method for constructing adaptive interventions.

http://www.wikidata.org/entity/Q30571533

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2012 nî lūn-bûn

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2012 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

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2012 թվականի հոտեմբերին հրատարակված գիտական հոդված

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2012年の論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年论文

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Q-learning: a data analysis method for constructing adaptive interventions.

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Q-learning: a data analysis method for constructing adaptive interventions.

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Q-learning: a data analysis method for constructing adaptive interventions.

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Q-learning: a data analysis method for constructing adaptive interventions.

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Q-learning: a data analysis method for constructing adaptive interventions.

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Psychological Methods

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Q-learning: a data analysis method for constructing adaptive interventions.

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Beth Gnagy

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Daniel Almirall

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Gregory A Fabiano

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Inbal Nahum-Shani

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James G Waxmonsky

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Jihnhee Yu

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Min Qian

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William E Pelham

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P2860

Practice Parameter for the Assessment and Treatment of Children and Adolescents With Attention-Deficit/Hyperactivity Disorder

The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations

Experimental design and primary data analysis methods for comparing adaptive interventions.

Using engineering control principles to inform the design of adaptive interventions: a conceptual introduction.

Inference for non-regular parameters in optimal dynamic treatment regimes

An experimental design for the development of adaptive treatment strategies.

The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions.

Tailored communications for smoking cessation: past successes and future directions.

Evidence-based psychosocial treatments for attention-deficit/hyperactivity disorder.

Adaptive Interventions in Drug Court: A Pilot Experiment

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478-494

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10.1037/A0029373

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4

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17

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2012-10-01T00:00:00Z

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231740268

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23025434

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3747013

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