Literature DB >> 31869281

Essential Ingredients and Innovations in the Design and Analysis of Group-Randomized Trials.

David M Murray1, Monica Taljaard2,3, Elizabeth L Turner4, Stephanie M George1.   

Abstract

This article reviews the essential ingredients and innovations in the design and analysis of group-randomized trials. The methods literature for these trials has grown steadily since they were introduced to the biomedical research community in the late 1970s, and we summarize those developments. We review, in addition to the group-randomized trial, methods for two closely related designs, the individually randomized group treatment trial and the stepped-wedge group-randomized trial. After describing the essential ingredients for these designs, we review the most important developments in the evolution of their methods using a new bibliometric tool developed at the National Institutes of Health. We then discuss the questions to be considered when selecting from among these designs or selecting the traditional randomized controlled trial. We close with a review of current methods for the analysis of data from these designs, a case study to illustrate each design, and a brief summary.

Keywords:  cluster-randomized trial; group-randomized trial; individually randomized group treatment trial; stepped-wedge cluster-randomized trial; stepped-wedge group-randomized trial

Mesh:

Year:  2019        PMID: 31869281     DOI: 10.1146/annurev-publhealth-040119-094027

Source DB:  PubMed          Journal:  Annu Rev Public Health        ISSN: 0163-7525            Impact factor:   21.981


  10 in total

Review 1.  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

2.  Methodological challenges in pragmatic trials in Alzheimer's disease and related dementias: Opportunities for improvement.

Authors:  Monica Taljaard; Fan Li; Bo Qin; Caroline Cui; Leyi Zhang; Stuart G Nicholls; Kelly Carroll; Susan L Mitchell
Journal:  Clin Trials       Date:  2021-11-29       Impact factor: 2.486

3.  A large pragmatic trial is the right solution for testing anti-amyloid therapies for Alzheimer's disease.

Authors:  M Maria Glymour; Vincent Mor
Journal:  J Am Geriatr Soc       Date:  2022-02-14       Impact factor: 7.538

4.  Marginal modeling in community randomized trials with rare events: Utilization of the negative binomial regression model.

Authors:  Philip M Westgate; Debbie M Cheng; Daniel J Feaster; Soledad Fernández; Abigail B Shoben; Nathan Vandergrift
Journal:  Clin Trials       Date:  2022-01-06       Impact factor: 2.599

5.  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

6.  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

7.  NIH Primary and Secondary Prevention Research in Humans: a Portfolio Analysis of Study Designs Used in 2012-2019.

Authors:  Natasha K Oyedele; Luis F Ganoza; Sheri D Schully; Charlene A Liggins; David M Murray
Journal:  Prev Sci       Date:  2022-01-22

8.  Impact of complex, partially nested clustering in a three-arm individually randomized group treatment trial: A case study with the wHOPE trial.

Authors:  Guangyu Tong; Karen H Seal; William C Becker; Fan Li; James D Dziura; Peter N Peduzzi; Denise A Esserman
Journal:  Clin Trials       Date:  2021-10-24       Impact factor: 2.486

9.  The Efficacy of Primavera, a Prevention Programme on Alcohol and Tobacco Use among 10-12-Year-Old Schoolchildren: A Randomized Controlled Cluster Study.

Authors:  Cristina Diaz Gomez; Alain Morel; Isabelle Sedano; Henri-Jean Aubin
Journal:  Int J Environ Res Public Health       Date:  2021-04-07       Impact factor: 3.390

Review 10.  Mixed-effects models for the design and analysis of stepped wedge cluster randomized trials: An overview.

Authors:  Fan Li; James P Hughes; Karla Hemming; Monica Taljaard; Edward R Melnick; Patrick J Heagerty
Journal:  Stat Methods Med Res       Date:  2020-07-06       Impact factor: 3.021

  10 in total

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