Volume 4, Issue 6, November 2015, Page: 630-639
Significance Test in Meta-analysis Approach: A theoretical Review
Habib Ahmed Elsayir, Department of Mathematics, Al Qunfudha University College, Umm Al Qura University, Al Qunfudha, Saudi Arabia
Received: Dec. 7, 2015;       Accepted: Dec. 21, 2015;       Published: Jan. 8, 2016
DOI: 10.11648/j.ajtas.20150406.35      View  4057      Downloads  84
Abstract
Meta-analysis, a statistical procedure that integrates the results of several independent studies, plays a central role in statistical research, and a very important task in research problems and statistical significance tests. This paper discusses these principles, along with the practical steps in performing meta-analysis. It describes the issue of meta-analysis, explains what meta-analysis is, how it is done and how it can be interpreted. Some related problems such as statistical significance, effect size and power analysis are described. Examples of implementation on theoretical data would be carried. Results, conclusions, recommendations on the use of meta-analysis would be summarized.
Keywords
Effect Size, Meta-analysis, Sample Size, Sensitivity Analysis, Significance Test, Systematic Review
To cite this article
Habib Ahmed Elsayir, Significance Test in Meta-analysis Approach: A theoretical Review, American Journal of Theoretical and Applied Statistics. Vol. 4, No. 6, 2015, pp. 630-639. doi: 10.11648/j.ajtas.20150406.35
Copyright
Copyright © 2015 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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