Literature DB >> 12568061

Methods to reduce the impact of intraclass correlation in group-randomized trials.

David M Murray1, Jonathan L Blistein.   

Abstract

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 They coded and analyzed 1,188 ICC estimates from 17 published, in press, and unpublished articles representing 21 studies.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.

Mesh:

Year:  2003        PMID: 12568061     DOI: 10.1177/0193841X02239019

Source DB:  PubMed          Journal:  Eval Rev        ISSN: 0193-841X


  66 in total

1.  Methods for evaluating practice change toward a patient-centered medical home.

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Journal:  Ann Fam Med       Date:  2010       Impact factor: 5.166

Review 2.  Design and analysis of group-randomized trials: a review of recent methodological developments.

Authors:  David M Murray; Sherri P Varnell; Jonathan L Blitstein
Journal:  Am J Public Health       Date:  2004-03       Impact factor: 9.308

3.  When intraclass correlation coefficients go awry: a case study from a school-based smoking prevention study in South Africa.

Authors:  Ken Resnicow; Nanhua Zhang; Roger D Vaughan; Sasiragha Priscilla Reddy; Shamagonam James; David M Murray
Journal:  Am J Public Health       Date:  2010-02-18       Impact factor: 9.308

Review 4.  Multilevel factorial experiments for developing behavioral interventions: power, sample size, and resource considerations.

Authors:  John J Dziak; Inbal Nahum-Shani; Linda M Collins
Journal:  Psychol Methods       Date:  2012-02-06

5.  The effects of the fast track program on serious problem outcomes at the end of elementary school.

Authors:  Karen L Bierman; John D Coie; Kenneth A Dodge; E Michael Foster; Mark T Greenberg; John E Lochman; Robert J McMahon; Ellen E Pinderhughes
Journal:  J Clin Child Adolesc Psychol       Date:  2004-12

6.  Balancing empiricism and local cultural knowledge in the design of prevention research.

Authors:  Philip A Fisher; Thomas J Ball
Journal:  J Urban Health       Date:  2005-06       Impact factor: 3.671

7.  Modeling adolescent drug-use patterns in cluster-unit trials with multiple sources of correlation using robust latent class regressions.

Authors:  Beth A Reboussin; Kurt K Lohman; Mark Wolfson
Journal:  Ann Epidemiol       Date:  2006-10-04       Impact factor: 3.797

8.  Statistical platform to discern spatial and temporal coordination of endothelial sprouting.

Authors:  William W Yuen; Nan R Du; Dima Shvartsman; Praveen R Arany; Henry Lam; David J Mooney
Journal:  Integr Biol (Camb)       Date:  2012-02-09       Impact factor: 2.192

9.  Influencing cardiovascular health habits in the rural, deep south: results of a cluster randomized trial.

Authors:  Laurie S Abbott; Elizabeth H Slate; Jennifer L Lemacks
Journal:  Health Educ Res       Date:  2019-04-01

10.  Statistical analysis of group-administered intervention data: reanalysis of two randomized trials.

Authors:  Scott A Baldwin; Eric Stice; Paul Rohde
Journal:  Psychother Res       Date:  2008-07
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