Literature DB >> 29551717

Design and analysis of group-randomized trials in cancer: A review of current practices.

David M Murray1, Sherri L Pals2, Stephanie M George3, Andrey Kuzmichev4, Gabriel Y Lai5, Jocelyn A Lee6, Ranell L Myles3, Shakira M Nelson7.   

Abstract

The purpose of this paper is to summarize current practices for the design and analysis of group-randomized trials involving cancer-related risk factors or outcomes and to offer recommendations to improve future trials. We searched for group-randomized trials involving cancer-related risk factors or outcomes that were published or online in peer-reviewed journals in 2011-15. During 2016-17, in Bethesda MD, we reviewed 123 articles from 76 journals to characterize their design and their methods for sample size estimation and data analysis. Only 66 (53.7%) of the articles reported appropriate methods for sample size estimation. Only 63 (51.2%) reported exclusively appropriate methods for analysis. These findings suggest that many investigators do not adequately attend to the methodological challenges inherent in group-randomized trials. These practices can lead to underpowered studies, to an inflated type 1 error rate, and to inferences that mislead readers. Investigators should work with biostatisticians or other methodologists familiar with these issues. Funders and editors should ensure careful methodological review of applications and manuscripts. Reviewers should ensure that studies are properly planned and analyzed. These steps are needed to improve the rigor and reproducibility of group-randomized trials. The Office of Disease Prevention (ODP) at the National Institutes of Health (NIH) has taken several steps to address these issues. ODP offers an online course on the design and analysis of group-randomized trials. ODP is working to increase the number of methodologists who serve on grant review panels. ODP has developed standard language for the Application Guide and the Review Criteria to draw investigators' attention to these issues. Finally, ODP has created a new Research Methods Resources website to help investigators, reviewers, and NIH staff better understand these issues. Published by Elsevier Inc.

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Year:  2018        PMID: 29551717      PMCID: PMC5930119          DOI: 10.1016/j.ypmed.2018.03.010

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  41 in total

1.  An integrated population-averaged approach to the design, analysis and sample size determination of cluster-unit trials.

Authors:  John S Preisser; Mary L Young; Daniel J Zaccaro; Mark Wolfson
Journal:  Stat Med       Date:  2003-04-30       Impact factor: 2.373

Review 2.  Improved Designs for Cluster Randomized Trials.

Authors:  Catherine M Crespi
Journal:  Annu Rev Public Health       Date:  2016-01-18       Impact factor: 21.981

3.  A comparison of permutation and mixed-model regression methods for the analysis of simulated data in the context of a group-randomized trial.

Authors:  David M Murray; Peter J Hannan; Sherri P Pals; Richard G McCowen; William L Baker; Jonathan L Blitstein
Journal:  Stat Med       Date:  2006-02-15       Impact factor: 2.373

4.  Finite-sample corrected generalized estimating equation of population average treatment effects in stepped wedge cluster randomized trials.

Authors:  JoAnna M Scott; Allan deCamp; Michal Juraska; Michael P Fay; Peter B Gilbert
Journal:  Stat Methods Med Res       Date:  2014-09-29       Impact factor: 3.021

5.  Longitudinal data analysis for discrete and continuous outcomes.

Authors:  S L Zeger; K Y Liang
Journal:  Biometrics       Date:  1986-03       Impact factor: 2.571

6.  Randomization by group: a formal analysis.

Authors:  J Cornfield
Journal:  Am J Epidemiol       Date:  1978-08       Impact factor: 4.897

7.  Randomization by cluster. Sample size requirements and analysis.

Authors:  A Donner; N Birkett; C Buck
Journal:  Am J Epidemiol       Date:  1981-12       Impact factor: 4.897

Review 8.  Review of Recent Methodological Developments in Group-Randomized Trials: Part 2-Analysis.

Authors:  Elizabeth L Turner; Melanie Prague; John A Gallis; Fan Li; David M Murray
Journal:  Am J Public Health       Date:  2017-05-18       Impact factor: 9.308

Review 9.  Are missing data adequately handled in cluster randomised trials? A systematic review and guidelines.

Authors:  Karla Díaz-Ordaz; Michael G Kenward; Abie Cohen; Claire L Coleman; Sandra Eldridge
Journal:  Clin Trials       Date:  2014-06-05       Impact factor: 2.486

10.  Increased risk of type I errors in cluster randomised trials with small or medium numbers of clusters: a review, reanalysis, and simulation study.

Authors:  Brennan C Kahan; Gordon Forbes; Yunus Ali; Vipul Jairath; Stephen Bremner; Michael O Harhay; Richard Hooper; Neil Wright; Sandra M Eldridge; Clémence Leyrat
Journal:  Trials       Date:  2016-09-06       Impact factor: 2.279

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  5 in total

1.  The Importance of Evaluating Health Disparities Research.

Authors:  Bruce A Dye; Deborah G Duran; David M Murray; John W Creswell; Patrick Richard; Tilda Farhat; Nancy Breen; Michael M Engelgau
Journal:  Am J Public Health       Date:  2019-01       Impact factor: 9.308

Review 2.  Common Methodological Problems in Randomized Controlled Trials of Preventive Interventions.

Authors:  Christine M Steeger; Pamela R Buckley; Fred C Pampel; Charleen J Gust; Karl G Hill
Journal:  Prev Sci       Date:  2021-06-26

3.  Influential methods reports for group-randomized trials and related designs.

Authors:  David M Murray
Journal:  Clin Trials       Date:  2022-01-06       Impact factor: 2.599

4.  Intraclass correlation coefficients for weight loss cluster randomized trials in primary care: The PROPEL trial.

Authors:  Peter T Katzmarzyk; Kara D Denstel; Corby K Martin; Robert L Newton; John W Apolzan; Emily F Mire; Ronald Horswell; William D Johnson; Andrew W Brown; Dachuan Zhang
Journal:  Clin Obes       Date:  2022-04-12

5.  Characteristics and practices of school-based cluster randomised controlled trials for improving health outcomes in pupils in the United Kingdom: a methodological systematic review.

Authors:  Kitty Parker; Michael Nunns; ZhiMin Xiao; Tamsin Ford; Obioha C Ukoumunne
Journal:  BMC Med Res Methodol       Date:  2021-07-26       Impact factor: 4.615

  5 in total

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