Literature DB >> 17188941

Sample size calculation for multicenter randomized trial: taking the center effect into account.

Emilie Vierron1, Bruno Giraudeau.   

Abstract

In multicenter trials, data from the same center are more similar than those from different centers. These similarities induce a correlation between data, known as the center effect, which is assessed by the intraclass correlation coefficient (ICC). Here, we derive a sample size formula for continuous data that takes into account this center effect. Our analytical developments lead to an elementary formula different from the classical one by a (1-rho) factor, where rho is the ICC. This work allows for adjusting and reducing the sample size according to the magnitude of the center effect and leads to a better consistency in the conduct of multicenter randomized trials.

Mesh:

Year:  2006        PMID: 17188941     DOI: 10.1016/j.cct.2006.11.003

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  24 in total

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6.  Design effect in multicenter studies: gain or loss of power?

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8.  Power calculations for multicenter imaging studies controlled by the false discovery rate.

Authors:  John Suckling; Anna Barnes; Dominic Job; David Brenan; Katherine Lymer; Paola Dazzan; Tiago Reis Marques; Clare MacKay; Shane McKie; Steve R Williams; Steven C R Williams; Stephen Lawrie; Bill Deakin
Journal:  Hum Brain Mapp       Date:  2010-08       Impact factor: 5.038

9.  Optimal allocation of sample sizes to multicenter clinical trials.

Authors:  Dejian Lai; Kuang-Chao Chang; Mohammad H Rahbar; Lemuel A Moye
Journal:  J Biopharm Stat       Date:  2013       Impact factor: 1.051

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