An adaptive method for assigning clinical trials wait-times for controls

Wait-list control clinical trials are popular among psychologists and rehabilitation specialists partly because all participants receive the intervention. In 2 arm wait-list control trials, individuals randomized to the treatment group receive immediate treatment whereas individuals randomized to th...

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Main Authors: Adam P. Sima, Katharine A. Stromberg, Jeffrey S. Kreutzer
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:Contemporary Clinical Trials Communications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2451865421000296
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spelling doaj-cf812618894642a7bee07e618d4e1cc92021-03-22T12:51:13ZengElsevierContemporary Clinical Trials Communications2451-86542021-03-0121100727An adaptive method for assigning clinical trials wait-times for controlsAdam P. Sima0Katharine A. Stromberg1Jeffrey S. Kreutzer2Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA; Corresponding author. Virginia Commonwealth University, Box 980032 Richmond, VA 23298, USA.Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USADepartments of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, USAWait-list control clinical trials are popular among psychologists and rehabilitation specialists partly because all participants receive the intervention. In 2 arm wait-list control trials, individuals randomized to the treatment group receive immediate treatment whereas individuals randomized to the control group wait a fixed amount of time before intervention is initiated. For interventions that have varying durations, careful consideration must be given to the period that participants in the control group have a delay until treatment begins, as incongruent wait times compared to the intervention durations of the treatment group may introduce confounding into the evaluation of the treatment differences. To alleviate this issue, we propose to adaptively assign wait times to individuals randomized to the control group based on the intervention duration of those in the treatment group. Simulations demonstrate the that our method not only results in similar timing distributions between participants in the treatment and control groups, but also allows participants in the control group to initiate treatment earlier than the traditional design. The latter characteristic may reduce dropout and result in more efficient study enrollment.http://www.sciencedirect.com/science/article/pii/S2451865421000296Clinical trailsWait-list controlsAdaptive designCumulative distribution functionResilience and adjustment intervention
collection DOAJ
language English
format Article
sources DOAJ
author Adam P. Sima
Katharine A. Stromberg
Jeffrey S. Kreutzer
spellingShingle Adam P. Sima
Katharine A. Stromberg
Jeffrey S. Kreutzer
An adaptive method for assigning clinical trials wait-times for controls
Contemporary Clinical Trials Communications
Clinical trails
Wait-list controls
Adaptive design
Cumulative distribution function
Resilience and adjustment intervention
author_facet Adam P. Sima
Katharine A. Stromberg
Jeffrey S. Kreutzer
author_sort Adam P. Sima
title An adaptive method for assigning clinical trials wait-times for controls
title_short An adaptive method for assigning clinical trials wait-times for controls
title_full An adaptive method for assigning clinical trials wait-times for controls
title_fullStr An adaptive method for assigning clinical trials wait-times for controls
title_full_unstemmed An adaptive method for assigning clinical trials wait-times for controls
title_sort adaptive method for assigning clinical trials wait-times for controls
publisher Elsevier
series Contemporary Clinical Trials Communications
issn 2451-8654
publishDate 2021-03-01
description Wait-list control clinical trials are popular among psychologists and rehabilitation specialists partly because all participants receive the intervention. In 2 arm wait-list control trials, individuals randomized to the treatment group receive immediate treatment whereas individuals randomized to the control group wait a fixed amount of time before intervention is initiated. For interventions that have varying durations, careful consideration must be given to the period that participants in the control group have a delay until treatment begins, as incongruent wait times compared to the intervention durations of the treatment group may introduce confounding into the evaluation of the treatment differences. To alleviate this issue, we propose to adaptively assign wait times to individuals randomized to the control group based on the intervention duration of those in the treatment group. Simulations demonstrate the that our method not only results in similar timing distributions between participants in the treatment and control groups, but also allows participants in the control group to initiate treatment earlier than the traditional design. The latter characteristic may reduce dropout and result in more efficient study enrollment.
topic Clinical trails
Wait-list controls
Adaptive design
Cumulative distribution function
Resilience and adjustment intervention
url http://www.sciencedirect.com/science/article/pii/S2451865421000296
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