4.5 Review Book Chapter

Adaptive Designs for Randomized Trials in Public Health

Journal

ANNUAL REVIEW OF PUBLIC HEALTH
Volume 30, Issue -, Pages 1-25

Publisher

ANNUAL REVIEWS
DOI: 10.1146/annurev.publhealth.031308.100223

Keywords

multilevel trials; multistage trials; growth mixture models; encouragement designs; CACE modeling; principal stratification

Funding

  1. National Institute of Mental Health and the National Institute on Drug Abuse [R01-MH40859, R01MH076158, R01 MH076158, P30-DA023920, P30MH074678, P20MH071897, P30MH068685, R01MH06624, R01MH066319, R01MH080122, R01MH078016, R01MH068423, R01MH069353, R34MH071189, R01DA 025192]
  2. Substance Abuse and Mental Health Services Administration (SAMHSA) [SM57405]

Ask authors/readers for more resources

In this article, we present a discussion of two general ways in which the traditional randomized trial can be modified or adapted in response to the data being collected. We use the term adaptive design to refer to a trial in which characteristics of the study itself, such as the proportion assigned to active intervention versus control, change during the trial in response to data being collected. The term adaptive sequence of trials refers to a decision-making process that fundamentally informs the conceptualization and conduct of each new trial with the results of previous trials. Our discussion below investigates the utility of these two types of adaptations for public health evaluations. Examples are provided to illustrate how adaptation can be used in practice. From these case studies, we discuss whether such evaluations can or should be analyzed as if they were formal randomized trials, and we discuss practical as well as ethical issues arising in the conduct of these new-generation trials.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available