More than numbers: the power of graphs in meta-analysis.

  title={More than numbers: the power of graphs in meta-analysis.},
  author={Leon Bax and Noriaki Ikeda and Naohito Fukui and Yukari Yaju and Harukazu Tsuruta and Karel G. M. Moons},
  journal={American journal of epidemiology},
  volume={169 2},
In meta-analysis, the assessment of graphs is widely used in an attempt to identify or rule out heterogeneity and publication bias. A variety of graphs are available for this purpose. To date, however, there has been no comparative evaluation of the performance of these graphs. With the objective of assessing the reproducibility and validity of graph ratings, the authors simulated 100 meta-analyses from 4 scenarios that covered situations with and without heterogeneity and publication bias… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 61 extracted citations


Publications referenced by this paper.
Showing 1-10 of 46 references

MIX: Comprehensive Free Software for Meta-Analysis of Causal Research Data. Version 1.7

  • L Bax, LM Yu, N Ikeda
  • Sagamihara, Japan: Kitasato Clinical Research…
  • 2008
1 Excerpt


  • R Development Cor
  • R: A Language and Environment for Statistical…
  • 2007
1 Excerpt

Similar Papers

Loading similar papers…