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 does sample size affect the interpretation of P values?
P values depend on both the effect estimate and the sample size (or the precision of the effect estimate).
- Larger sample sizes reduce the range of effects that could occur by chance, leading to smaller P values for the same effect size.
- This means that a larger study is more likely to produce a statistically significant result, even if the effect is clinically trivial.
References:
- Cochrane Handbook for Systematic Reviews of Interventions. (2011). 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