ArticleClinical trials (London, England)2014
Introduction to dynamic treatment strategies and sequential multiple assignment randomization.
Article in Clinical trials (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Reporting of Postprotocol Therapies and Attrition in Multiple Myeloma Randomized Clinical Trials: A Systematic Review.JAMA network open · 2021Pooled it
- Datopotamab-deruxtecan in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial.Nature medicine · 2024Trial
- Datopotamab-deruxtecan plus durvalumab in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial.Nature medicine · 2024Trial
- Estimating individualized treatment regimes from crossover designs.Biometrics · 2020Trial
- Longitudinal Effects of Adaptive Interventions With a Speech-Generating Device in Minimally Verbal Children With ASD.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53Trial
- Individualized assignment to short-term alcohol abstinence: A proof-of-concept human laboratory study using psychopathology dimensions.Drug and alcohol dependence reports · 2026Article
- Article
- Understanding Physician's Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study.JMIR research protocols · 2024Article
- Article
- Modified interactive Q-learning for attenuating the impact of model misspecification with treatment effect heterogeneity.Statistical methods in medical research · 2023Article
- Outcome trajectory estimation for optimal dynamic treatment regimes with repeated measures.Journal of the Royal Statistical Society. Series C, Applied statistics · 2023Article
- A Methodological Approach for Documenting Multi-Component Interventions Targeting Family Caregivers.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2023Article
- A pilot sequential multiple assignment randomized trial (SMART) protocol for developing an adaptive coaching intervention around a mobile application for athletes to improve carbohydrate periodization behavior.Contemporary clinical trials communications · 2022Article
- Multitiered Systems of Support, Adaptive Interventions, and SMART Designs.Exceptional children · 2021Article
- Synthesizing independent stagewise trials for optimal dynamic treatment regimes.Statistics in medicine · 2020Article
- Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome.Statistical methods in medical research · 2020Review
- SMART longitudinal analysis: A tutorial for using repeated outcome measures from SMART studies to compare adaptive interventions.Psychological methods · 2020Article
- QuitSMART Utah: an implementation study protocol for a cluster-randomized, multi-level Sequential Multiple Assignment Randomized Trial to increase Reach and Impact of tobacco cessation treatment in Community Health Centers.Implementation science : IS · 2020Article
- Sequential, Multiple-Assignment, Randomized Trials for COMparing Personalized Antibiotic StrategieS (SMART-COMPASS).Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019Article
- Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
backgroundIn June 2013, a 1-day workshop on Dynamic Treatment Strategies (DTSs) and Sequential Multiple Assignment Randomized Trials (SMARTs) was held at the University of Pennsylvania in Philadelphia, Pennsylvania. These two linked topics have generated a great deal of interest as researchers have recognized the importance of comparing entire strategies for managing chronic disease. A number of articles emerged from that workshop. PURPOSE: The purpose of this survey of the DTS/SMART methodology (which is taken from the introductory talk in the workshop) is to provide the reader the collected articles presented in this volume with sufficient background to appreciate the more detailed discussions in the articles.
methodsThe way that the DTS arises naturally in clinical practice is described, along with its connection to the well-known difficulties of interpreting the analysis by intention-to-treat. The SMART methodology for comparing DTS is described, and the basics of estimation and inference presented.
resultsThe DTS/SMART methodology can be a flexible and practical way to optimize ongoing clinical decision making, providing evidence (based on randomization) for comparative effectiveness. LIMITATIONS: The DTS/SMART methodology is not a solution for unstandardized study protocols.
conclusionsThe DTS/SMART methodology has growing relevance to comparative effectiveness research and the needs of the learning healthcare system.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.