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

Q: Can publication bias in a meta-analysis always be detected using a funnel plot?

Refernce:

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