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 P value, and how is it interpreted in the context of Cochrane reviews?

The P value refers the probability of getting the observed effect (stronger effect) under the assumption of null hypothesis is true. Cochrane reviews state that the null hypothesis typically assumes:

No observed effect of the intervention, or
No differences between the two studies observed (no heterogeneity).

A less P value states that the observed effect is not likely to be occurred by chance, presenting evidence against the null hypothesis.

References:

Cochrane Handbook for Systematic Reviews of Interventions. (2011). 12.4.2 P values and statistical significance. The Cochrane Collaboration. Retrieved from
https://handbook-5-1.cochrane.org/chapter_12/12_4_2_p_values_and_statistical_significance.htm

Q: What is a P value, and how is it interpreted in the context of Cochrane reviews?

References:

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