Adaptive Designs for Clinical Trials: Application to Healthcare Epidemiology Research.
Journal Article (Journal Article;Review)
Clinical trials with adaptive designs use data that accumulate during the course of the study to modify study elements in a prespecified manner. The goal is to provide flexibility such that a trial can serve as a definitive test of its primary hypothesis, preferably in a shorter time period, involving fewer human subjects, and at lower cost. Elements that may be modified include the sample size, end points, eligible population, randomization ratio, and interventions. Accumulating data used to drive these modifications include the outcomes, subject enrollment (including factors associated with the outcomes), and information about the application of the interventions. This review discusses the types of adaptive designs for clinical trials, emphasizing their advantages and limitations in comparison with conventional designs, and opportunities for applying these designs to healthcare epidemiology research, including studies of interventions to prevent healthcare-associated infections, combat antimicrobial resistance, and improve antimicrobial stewardship.
Full Text
Duke Authors
Cited Authors
- Huskins, WC; Fowler, VG; Evans, S
Published Date
- March 19, 2018
Published In
- Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America
Volume / Issue
- 66 / 7
Start / End Page
- 1140 - 1146
PubMed ID
- 29121202
Pubmed Central ID
- PMC6018921
Electronic International Standard Serial Number (EISSN)
- 1537-6591
Digital Object Identifier (DOI)
- 10.1093/cid/cix907
Language
- eng
Conference Location
- United States