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...
Main Authors: | , , |
---|---|
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 |
id |
doaj-cf812618894642a7bee07e618d4e1cc9 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT adampsima anadaptivemethodforassigningclinicaltrialswaittimesforcontrols AT katharineastromberg anadaptivemethodforassigningclinicaltrialswaittimesforcontrols AT jeffreyskreutzer anadaptivemethodforassigningclinicaltrialswaittimesforcontrols AT adampsima adaptivemethodforassigningclinicaltrialswaittimesforcontrols AT katharineastromberg adaptivemethodforassigningclinicaltrialswaittimesforcontrols AT jeffreyskreutzer adaptivemethodforassigningclinicaltrialswaittimesforcontrols |
_version_ |
1724207726035206144 |