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 confidence intervals can be used to assess harm versus benefit?
Each confidence levels can indicates different degrees of certainty:
- 80% CI may signify a patient-important benefit.
- 90% CI may state some effect.
- 95% CI may ensure no harm.
The confidence intervals can help the researchers to determine whether an intervention is beneficial, neutral or harmful.
Refernce:
Cochrane Handbook for Systematic Reviews of Interventions. (2011). 12.4.1 Confidence intervals. The Cochrane Collaboration. Retrieved from
https://handbook-5-1.cochrane.org/chapter_12/12_4_1_confidence_intervals.htm