2020
DOI: 10.1186/s12916-020-01808-2
|View full text |Cite
|
Sign up to set email alerts
|

Adding flexibility to clinical trial designs: an example-based guide to the practical use of adaptive designs

Abstract: Adaptive designs for clinical trials permit alterations to a study in response to accumulating data in order to make trials more flexible, ethical, and efficient. These benefits are achieved while preserving the integrity and validity of the trial, through the pre-specification and proper adjustment for the possible alterations during the course of the trial. Despite much research in the statistical literature highlighting the potential advantages of adaptive designs over traditional fixed designs, the uptake … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
50
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
10

Relationship

6
4

Authors

Journals

citations
Cited by 50 publications
(50 citation statements)
references
References 190 publications
0
50
0
Order By: Relevance
“…Researchers have many study designs to choose from, and different designs are optimally suited to consider different research questions and different circumstances 68. Extensions to standard designs of randomised controlled trials (including adaptive designs, SMART trials (sequential multiple assignment randomised trials), n-of-1 trials, and hybrid effectiveness-implementation designs) are important areas of methods development to improve the efficiency of complex intervention research 69707172. Non-randomised designs and modelling approaches might work best if a randomised design is not practical, for example, in natural experiments or systems evaluations 57374.…”
Section: Phases and Core Elements Of Complex Intervention Researchmentioning
confidence: 99%
“…Researchers have many study designs to choose from, and different designs are optimally suited to consider different research questions and different circumstances 68. Extensions to standard designs of randomised controlled trials (including adaptive designs, SMART trials (sequential multiple assignment randomised trials), n-of-1 trials, and hybrid effectiveness-implementation designs) are important areas of methods development to improve the efficiency of complex intervention research 69707172. Non-randomised designs and modelling approaches might work best if a randomised design is not practical, for example, in natural experiments or systems evaluations 57374.…”
Section: Phases and Core Elements Of Complex Intervention Researchmentioning
confidence: 99%
“…A difficult challenge for scientists and clinicians is to design clinical trials in an orphan disease with a small number of patients. Using the patients as their own control, or adaptive designs, as is done in many cancer trials, may give the most meaningful data and require fewer patients [ 79 , 80 ]. Overall, a better understanding of specific disease drivers, and their measurable biomarkers, and the spatial and temporal balance between growth and differentiation in subsets of cells may allow a better prediction of patients who will respond best to a particular therapy and allow more individualized therapy.…”
Section: Targeting Multiple Growth Pathwaysmentioning
confidence: 99%
“…Identification of the correct dose of a treatment is an essential part of drug development. A rich literature [ 1 3 ] exists highlighting the benefits of model-based [ 4 6 ], model-assistant [ 7 , 8 ] and curve-free approaches [ 9 , 10 ] over traditional, simple rule-based methods (such as the 3 + 3 design) for recommending a dose for efficacy testing. However, the uptake of these new methods has been slow [ 11 ] and several obstacles to their use have been identified, including software, knowledge, and implementation [ 12 14 ].…”
Section: Introductionmentioning
confidence: 99%