Cutoff designs for community-based intervention studies.

Abstract:

:Public health interventions are often designed to target communities defined either geographically (e.g. cities, counties) or socially (e.g. schools or workplaces). The group randomized trial (GRT) is regarded as the gold standard for evaluating these interventions. However, community leaders may object to randomization as some groups may be denied a potentially beneficial intervention. Under a regression discontinuity design (RDD), individuals may be assigned to treatment based on the levels of a pretest measure, thereby allowing those most in need of the treatment to receive it. In this article, we consider analysis, power, and sample size issues in applying the RDD and related cutoff designs in community-based intervention studies. We examine the power of these designs as a function of intraclass correlation, number of groups, and number of members per group and compare results to the traditional GRT.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Pennell ML,Hade EM,Murray DM,Rhoda DA

doi

10.1002/sim.4237

subject

Has Abstract

pub_date

2011-07-10 00:00:00

pages

1865-82

issue

15

eissn

0277-6715

issn

1097-0258

journal_volume

30

pub_type

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