Methods To Reduce The Impact Of Intraclass Correlation In Group-Randomized Trials

Methods To Reduce The Impact Of Intraclass Correlation In Group-Randomized Trials

This study reports intraclass correlation (ICC) for dependent variables used in group-randomized trials (GRTs). The authors also document the effect of two methods suggested to reduce the impact of ICC in GRTs; these two methods are modeling time and regression adjustment for covariates. They coded...

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Veröffentlicht in:Evaluation review 2003-02, Vol.27 (1), p.79-103
Hauptverfasser: Murray, David M., Blitstein, Jonathan L.
Format: Artikel
Sprache:eng
Schlagworte:
Analysis of Variance
Clinical trials
Comparative Analysis
Correlation
Efficiency
Evaluation
Freedom
Group analysis
Groups
Health technology assessment
Hierarchical Linear Modeling
Humans
Methodological Problems
Methodology
Models, Statistical
Public Health
Quantitative Methods
Randomized Controlled Trials as Topic - statistics & numerical data
Regression (Statistics)
Regression Analysis
Research Design
Research methods
Social Class
Statistical Analysis
Time Factors
Variables
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Zusammenfassung:This study reports intraclass correlation (ICC) for dependent variables used in group-randomized trials (GRTs). The authors also document the effect of two methods suggested to reduce the impact of ICC in GRTs; these two methods are modeling time and regression adjustment for covariates. They coded and analyzed 1,188 ICC estimates from 17 published, in press, and unpublished articles representing 21 studies. Findings confirm that both methods can improve the efficiency of analyses shown to be valid across conditions common in GRTs. Investigators planning GRTs should obtain ICC estimates matched to their planned analysis so that they can size their studies properly.
ISSN:0193-841X
1552-3926
DOI:10.1177/0193841X02239019