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Trials
Published in: Trials 2/2015

Open Access 01-12-2015 | Poster presentation

The role of cluster size and intra-cluster correlations when adjusting for covariates in the analysis of cluster randomised trials

Author: Neil Wright

Published in: Trials | Special Issue 2/2015

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Excerpt

Reports of clinical trials often include adjusted analyses, which incorporate covariate data into the analysis model. Adjusting for covariates can increase the precision of treatment effect estimates and increase the power of statistical tests, without the need to increase sample size. In individually randomised trials, the main reason to adjust for a particular covariate is that it is expected to be strongly associated with the primary outcome. The larger the association between covariate and outcome, the greater the increase in power achieved from an adjusted analysis. …
Metadata
Title
The role of cluster size and intra-cluster correlations when adjusting for covariates in the analysis of cluster randomised trials
Author
Neil Wright
Publication date
01-12-2015
Publisher
BioMed Central
Published in
Trials / Issue Special Issue 2/2015
Electronic ISSN: 1745-6215
DOI
https://doi.org/10.1186/1745-6215-16-S2-P154

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