Literature DB >> 1315664

Aspects of statistical design for the Community Intervention Trial for Smoking Cessation (COMMIT).

M H Gail1, D P Byar, T F Pechacek, D K Corle.   

Abstract

We present statistical considerations for the design of the Community Intervention Trial for Smoking Cessation (COMMIT). One outcome measurement, the quit rate in randomly selected cohorts of smokers, is compared with another outcome measurement, the decrease in smoking prevalence, in terms of statistical efficiency and interpretability. The COMMIT study uses both types of outcome measurements. The merits of pair-matching the communities are considered, and sample size calculations take into account heterogeneity among pair-matched communities. In addition to significance tests based on the permutational (randomization) distribution, we also describe approaches for covariate adjustment. The COMMIT design includes 11 pair-matched communities, which should provide good power to detect a 10% or greater difference in quit rates between the intervention and control communities in cohorts of heavy smokers and in cohorts of light or moderate smokers. The power is only moderate to detect intervention effects on the decreases in overall smoking prevalence or in the prevalence of heavy smoking.

Mesh:

Year:  1992        PMID: 1315664     DOI: 10.1016/0197-2456(92)90026-v

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  22 in total

Review 1.  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

2.  Addressing challenges in adolescent smoking cessation: design and baseline characteristics of the HS Group-Randomized trial.

Authors:  Jingmin Liu; Arthur V Peterson; Kathleen A Kealey; Sue L Mann; Jonathan B Bricker; Patrick M Marek
Journal:  Prev Med       Date:  2007-06-04       Impact factor: 4.018

3.  Group-randomized trial of a proactive, personalized telephone counseling intervention for adolescent smoking cessation.

Authors:  Arthur V Peterson; Kathleen A Kealey; Sue L Mann; Patrick M Marek; Evette J Ludman; Jingmin Liu; Jonathan B Bricker
Journal:  J Natl Cancer Inst       Date:  2009-10-12       Impact factor: 13.506

4.  The effects of a health promotion-health protection intervention on behavior change: the WellWorks Study.

Authors:  G Sorensen; A Stoddard; M K Hunt; J R Hebert; J K Ockene; J S Avrunin; J Himmelstein; S K Hammond
Journal:  Am J Public Health       Date:  1998-11       Impact factor: 9.308

5.  A Voluntary Smokers' Registry: Characteristics of joiners and non-joiners in the Community Intervention Trial for Smoking Cessation (COMMIT).

Authors:  B Thompson; L E Rich; W R Lynn; R Shields; D K Corle
Journal:  Am J Public Health       Date:  1998-01       Impact factor: 9.308

6.  Community Intervention Trial for Smoking Cessation (COMMIT): I. cohort results from a four-year community intervention.

Authors: 
Journal:  Am J Public Health       Date:  1995-02       Impact factor: 9.308

7.  Community intervention trial for smoking cessation (COMMIT): II. Changes in adult cigarette smoking prevalence.

Authors: 
Journal:  Am J Public Health       Date:  1995-02       Impact factor: 9.308

8.  ADAPTIVE MATCHING IN RANDOMIZED TRIALS AND OBSERVATIONAL STUDIES.

Authors:  Mark J van der Laan; Laura B Balzer; Maya L Petersen
Journal:  J Stat Res       Date:  2012-12-01

9.  Sample size considerations in the design of cluster randomized trials of combination HIV prevention.

Authors:  Rui Wang; Ravi Goyal; Quanhong Lei; M Essex; Victor De Gruttola
Journal:  Clin Trials       Date:  2014-06       Impact factor: 2.486

10.  Proactive telephone counseling for adolescent smokers: Comparing regular smokers with infrequent and occasional smokers on treatment receptivity, engagement, and outcomes.

Authors:  Jaimee L Heffner; Kathleen A Kealey; Patrick M Marek; Jonathan B Bricker; Evette J Ludman; Arthur V Peterson
Journal:  Drug Alcohol Depend       Date:  2016-06-20       Impact factor: 4.492

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