4.5 Review Book Chapter

Adaptive Designs for Randomized Trials in Public Health

期刊

ANNUAL REVIEW OF PUBLIC HEALTH
卷 30, 期 -, 页码 1-25

出版社

ANNUAL REVIEWS
DOI: 10.1146/annurev.publhealth.031308.100223

关键词

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

资金

  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]

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据