Literature DB >> 12971203

Meta-analyses of cluster randomization trials. Power considerations.

Allan Donner1, Gilda Piaggio, José Villar.   

Abstract

A commonly cited purpose for conducting a meta-analysis of randomized trials is to increase the statistical power for detecting the effect of an intervention on a specified set of endpoints. At the same time, it also has been noted by several authors that many large-scale cluster randomization trials have not had the power to detect small or even moderate effect sizes. The loss of efficiency associated with cluster randomization relative to individual randomization, and the frequent failure of investigators to take this loss of efficiency into account at the planning stage of a trial, undoubtedly contributes to this problem. In this article, the authors present an approach that may be used to estimate the power of a planned meta-analysis that includes trials that are cluster randomized. Two examples are presented.

Mesh:

Year:  2003        PMID: 12971203     DOI: 10.1177/0163278703255234

Source DB:  PubMed          Journal:  Eval Health Prof        ISSN: 0163-2787            Impact factor:   2.651


  2 in total

1.  Sample size considerations when groups are the appropriate unit of analysis.

Authors:  Georgia Robins Sadler; Celine Marie Ko; Jennifer Alisangco; Bradley P Rosbrook; Eric Miller; Judith Fullerton
Journal:  Appl Nurs Res       Date:  2007-08       Impact factor: 2.257

2.  A cluster randomised feasibility trial evaluating nutritional interventions in the treatment of malnutrition in care home adult residents.

Authors:  Ruth Stow; Natalie Ives; Christina Smith; Caroline Rick; Alison Rushton
Journal:  Trials       Date:  2015-09-28       Impact factor: 2.279

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.