Mean and Mean difference are the two key statistical measures used in the statistical analysis. Both are essential for meta-analysis as well. Mean and Mean difference are used for the interpretation of a large set of values into a single number which explains the heterogeneity and variation among the individual values. However, one of a common challenge in meta-analysis is the unavailability of this data (mean and standard deviation).
Q & A Forum
Meta Analysis
Q: What is a funnel plot, and how is it used in meta-analysis?
A funnel plot is a scatter plot that visually represents the effect estimates from individual studies against a measure of study size or precision. Typically:
- The effect estimates (e.g., odds ratios) are plotted on the horizontal axis.
- The measure of study size (often standard error) is plotted on the vertical axis (reversed scale).
Funnel plots help detect publication bias and small-study effects in a meta-analysis.
Refernce:
Cochrane Handbook for Systematic Reviews of Interventions. (2011). 10.4.1 Funnel plots. The Cochrane Collaboration. Retrieved from
https://handbook-5-1.cochrane.org/chapter_10/10_4_1_funnel_plots.htm