Analysis of prevention program effectiveness with clustered data using generalized estimating equations.

Abstract:

:Experimental studies of prevention programs often randomize clusters of individuals rather than individuals to treatment conditions. When the correlation among individuals within clusters is not accounted for in statistical analysis, the standard errors are biased, potentially resulting in misleading conclusions about the significance of treatment effects. This study demonstrates the generalized estimating equations (GEE) method, focusing specifically on the GEE-independent method, to control for within-cluster correlation in regression models with either continuous or binary outcomes. The GEE-independent method yields consistent and robust variance estimates. Data from project DARE, a youth substance abuse prevention program, are used for illustration.

journal_name

J Consult Clin Psychol

authors

Norton EC,Bieler GS,Ennett ST,Zarkin GA

doi

10.1037//0022-006x.64.5.919

subject

Has Abstract

pub_date

1996-10-01 00:00:00

pages

919-26

issue

5

eissn

0022-006X

issn

1939-2117

journal_volume

64

pub_type

临床试验,杂志文章,随机对照试验
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