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 threshold is commonly used to determine statistical significance?

Generally, P value below 0.05 is referred statistically significant, states it is small adequate to reject the null hypothesis. However, this 0.05 threshold is a random value and comes from statistical table cutoffs in medical and psychological research studies.

Cochrane recommends reporting precise P values along with 95% confidence intervals (CIs), Instead of relying solely on threshold values to give more comprehensive explanation of statistical significance.

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 threshold is commonly used to determine statistical significance?

References:

Connect with us to explore how we can support you in maintaining academic integrity and enhancing the visibility of your research across the world!