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: How can SD be estimated when only effect estimates with a z-score between two groups are available?

SE of the difference between two groups can be calculated by dividing the effect estimate by the z-score (Formula 21). The within-group SD can then be estimated using Formula 20.

Q: How can SD be estimated when only effect estimates with a z-score between two groups are available?

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