Significance Test in Meta-analysis Approach: A theoretical Review
American Journal of Theoretical and Applied Statistics
Volume 4, Issue 6, November 2015, Pages: 630-639
Received: Dec. 7, 2015; Accepted: Dec. 21, 2015; Published: Jan. 8, 2016
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Habib Ahmed Elsayir, Department of Mathematics, Al Qunfudha University College, Umm Al Qura University, Al Qunfudha, Saudi Arabia
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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.
Effect Size, Meta-analysis, Sample Size, Sensitivity Analysis, Significance Test, Systematic Review
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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
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