Assessing Heterogeneity Among studies’ Results in Meta-analysis

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Chetta Ngamjarus

Abstract

Abstract:

Assessing heterogeneity among studies’ results is the most important step in meta-analysis for the purpose of selecting an appropriate model for combining the results to produce an overall statistic from the included studies.  The popular statistics methods are the visual investigation of the heterogeneity such as Forest plot, Galbraith plot and L’Abbé plot. Additionally, the Q statistics and I2 can be used to assess the heterogeneity. In practice it is suggested that Forest plot, Q statistics and I2 should be used together with the possibility of content heterogeneity in order to assess the heterogeneity between studies’ results.

Key words: heterogeneity, meta-analysis, Forest plot, Galbraith plot, L’Abbé plot, Q statistics, I2

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How to Cite
1.
Ngamjarus C. Assessing Heterogeneity Among studies’ Results in Meta-analysis. Srinagarind Med J [nternet]. 1 [cited 2021Nov.29];24(2):142-7. vailable from: https://li01.tci-thaijo.org/index.php/SRIMEDJ/article/view/13010
Section
Review Articles