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 the interquartile range (IQR) is available, without Q1 and Q3 values?
If only the IQR is provided, estimation follows Sub-circumstance 3.2 (Formula 12). However, if Q1 and Q3 are missing, the median is assumed to be the mean, provided the data follows a normal distribution.
