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: Can publication bias in a meta-analysis always be detected using a funnel plot?
No, Publication bias will not always show asymmetry in meta-analysis. If no true intervention effect exists, but studies are selectively published based on P values, the plot may still appear symmetrical, despite bias affecting the meta-analysis results.
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