Meta-analyses typically combine two or more independent trials (often with different designs and conducted for different reasons) into the same analytic framework. In a conceptually similar study, statistical methods are used for meta-analysis to arrive at common truths. In addition to providing estimates of unknown general truths, the meta-analysis is able to compare the results of different studies and determine the patterns between the results, the sources of divergence between these results, or other interesting relationships that may be exposed in multiple researches. While the meta-analysis has long been part of the experiment, its complexity is problematic in terms of planning and implementation.	Meta-analysis	
https://www.cd-biosciences.com/meta-analysis/

Meta-analysis

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Meta-analyses typically combine two or more independent trials (often with different designs and conducted for different reasons) into the same analytic framework. In a conceptually similar study, statistical methods are used for meta-analysis to arrive at common truths. In addition to providing estimates of unknown general truths, the meta-analysis is able to compare the results of different studies and determine the patterns between the results, the sources of divergence between these results, or other interesting relationships that may be exposed in multiple researches. While the meta-analysis has long been part of the experiment, its complexity is problematic in terms of planning and implementation. Meta-analysis
https://www.cd-biosciences.com/meta-analysis/

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