Adaptive Designs for Clinical Trials: Application to Healthcare Epidemiology Research

W Charles Huskins, Vance G. Fowler, Scott Evans

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1140-1146
Number of pages7
JournalClinical Infectious Diseases
Volume66
Issue number7
DOIs
StatePublished - Mar 19 2018

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Health Services Research
Epidemiology
Clinical Trials
Random Allocation
Cross Infection
Sample Size
Costs and Cost Analysis
Population

Keywords

  • Clinical trials
  • Drug resistance
  • Infection control
  • Microbial
  • Randomized controlled trials
  • Research design

ASJC Scopus subject areas

  • Microbiology (medical)
  • Infectious Diseases

Cite this

Adaptive Designs for Clinical Trials : Application to Healthcare Epidemiology Research. / Huskins, W Charles; Fowler, Vance G.; Evans, Scott.

In: Clinical Infectious Diseases, Vol. 66, No. 7, 19.03.2018, p. 1140-1146.

Research output: Contribution to journalArticle

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