Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
468374 | Computer Methods and Programs in Biomedicine | 2014 | 4 Pages |
Abstract
Meta-analysis aims to synthesize results from different studies. Although, in a meta-analysis the presence of large between-study heterogeneity is routinely evaluated, in some instances is also important to probe whether there is extreme between-study homogeneity (i.e. extreme low between-study heterogeneity). HELOW (HEterogeneity LOW) is a program for testing extreme homogeneity in a meta-analysis of risk ratios when binary outcome and Mantel–Haenszel fixed effects summary risk ratio estimate are employed. The significance of extreme homogeneity is assessed using a Monte Carlo test. Extreme homogeneity may yield insights for the statistical and clinical interpretation of the data.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Elias Zintzaras, John P. Ioannidis,