Literature DB >> 12185889

Clinical trials of behavioural interventions with heterogeneous teaching subgroup effects.

Donald R Hoover1.   

Abstract

Behaviour modification is often delivered to teaching subgroups. For example, experimental and control smoking cessation programmes may be given to 15 classes (subgroups) with 10 (otherwise independent) individuals. We present general statistical tests and power estimates to compare continuous outcomes from two interventions in settings where the magnitude of teaching subgroup heterogeneity, number of subgroups and subgroup size can differ between intervention arms. An application is made to data from a trial to reduce disease-transmitting sexual behaviour. The statistical impact of teaching subgroup heterogeneity effect increases as the (a) number of participants in a subgroup increases, and (b) ratio of 'averaged experimental and control subgroup effect variance' to study subject variance increases. If plausible levels of subgroup teaching effect heterogeneity are ignored, the true sizes of tests with nominal 0.05 two-sided type I errors range from 0.055 to 0.47, while when planning studies, estimated sample sizes are only 11.1-95.2 per cent of the true requirements.

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Year:  2002        PMID: 12185889     DOI: 10.1002/sim.1139

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  14 in total

1.  Power for T-test comparisons of unbalanced cluster exposure studies.

Authors:  Donald R Hoover
Journal:  J Urban Health       Date:  2002-06       Impact factor: 3.671

2.  Evaluating models for partially clustered designs.

Authors:  Scott A Baldwin; Daniel J Bauer; Eric Stice; Paul Rohde
Journal:  Psychol Methods       Date:  2011-06

Review 3.  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

Review 4.  Clustering by health professional in individually randomised trials.

Authors:  Katherine J Lee; Simon G Thompson
Journal:  BMJ       Date:  2005-01-15

Review 5.  Individually randomized group treatment trials: a critical appraisal of frequently used design and analytic approaches.

Authors:  Sherri L Pals; David M Murray; Catherine M Alfano; William R Shadish; Peter J Hannan; William L Baker
Journal:  Am J Public Health       Date:  2008-06-12       Impact factor: 9.308

6.  Multilevel Interventions Targeting Obesity: Research Recommendations for Vulnerable Populations.

Authors:  June Stevens; Charlotte Pratt; Josephine Boyington; Cheryl Nelson; Kimberly P Truesdale; Dianne S Ward; Leslie Lytle; Nancy E Sherwood; Thomas N Robinson; Shirley Moore; Shari Barkin; Ying Kuen Cheung; David M Murray
Journal:  Am J Prev Med       Date:  2016-10-26       Impact factor: 5.043

7.  Evaluating Group-Based Interventions When Control Participants Are Ungrouped.

Authors:  Daniel J Bauer; Sonya K Sterba; Denise Dion Hallfors
Journal:  Multivariate Behav Res       Date:  2008-04-02       Impact factor: 5.923

8.  Analytic methods for individually randomized group treatment trials and group-randomized trials when subjects belong to multiple groups.

Authors:  Rebecca R Andridge; Abigail B Shoben; Keith E Muller; David M Murray
Journal:  Stat Med       Date:  2014-01-08       Impact factor: 2.373

9.  Sample size estimation in educational intervention trials with subgroup heterogeneity in only one arm.

Authors:  Denise Esserman; Yingqi Zhao; Yiyun Tang; Jianwen Cai
Journal:  Stat Med       Date:  2012-11-22       Impact factor: 2.373

10.  Design and analysis of trials with a partially nested design and a binary outcome measure.

Authors:  Chris Roberts; Evridiki Batistatou; Stephen A Roberts
Journal:  Stat Med       Date:  2015-12-15       Impact factor: 2.373

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