Question

How can I share a few more basic details about the meta-analysis? And when is it most appropriate to use this test and when is it not appropriate to use this test?

Answer 1

(1) Definition of Meta Analysis:

Meta Analysis (MA) is a quantitative analysis of several seperate similar experiments in oder to test the pooled data for statistical significance. It uses a statistical approach to combine the results from multiple studies in an effort to increase power over individual studies, improve estimates of the size of the effect and to resolve uncretainty when reports disagree.

(2) When Meta Analysis is most appropriate to use:

When the Treatment Effect is consistent from one study to the next, Meta Analysis is appropriate to indentify this common effect. It is appropriate to critically evaluate and statistically combine results of comparable trials. It is used for purpose of increasing the number of observations and the statistical power and improving the estimates of effect size of an association.

(3) When it is not appropriate to use Meta Analysis:

We cannot conduct Meta Analysis when the data is having heterogeneity, i.e., the variability among studies as a consequence of methodological diversity. The estimators must be made similar statistical forms by the researcher if Meta Analysis is to be performed.The estimates should be comparable.