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- Meta-analysis abstract "In statistics, a meta-analysis refers to methods that focus on contrasting and combining results from different studies, in the hope of identifying patterns among study results, sources of disagreement among those results, or other interesting relationships that may come to light in the context of multiple studies. In its simplest form, meta-analysis is normally done by identification of a common measure of effect size. A weighted average of that common measure is the output of a meta-analysis. The weighting is related to sample sizes within the individual studies. More generally there are other differences between the studies that need to be allowed for, but the general aim of a meta-analysis is to more powerfully estimate the true effect size as opposed to a less precise effect size derived in a single study under a given single set of assumptions and conditions. A meta-analysis therefore gives a thorough summary of several studies that have been done on the same topic, and provides the reader with extensive information on whether an effect exists and what size that effect has.Meta analysis can be thought of as "conducting research about research."Meta-analyses are often, but not always, important components of a systematic review procedure. For instance, a meta-analysis may be conducted on several clinical trials of a medical treatment, in an effort to obtain a better understanding of how well the treatment works. Here it is convenient to follow the terminology used by the Cochrane Collaboration, and use "meta-analysis" to refer to statistical methods of combining evidence, leaving other aspects of 'research synthesis' or 'evidence synthesis', such as combining information from qualitative studies, for the more general context of systematic reviews.Meta-analysis forms part of a framework called estimation statistics which relies on effect sizes, confidence intervals and precision planning to guide data analysis, and is an alternative to null hypothesis significance testing.".
- Meta-analysis wikiPageExternalLink JustHistory.pdf.
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- Meta-analysis wikiPageExternalLink effectsizefaq.com.
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- Meta-analysis wikiPageExternalLink 2009-06.pdf.
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- Meta-analysis wikiPageExternalLink 2047231315-1318.pdf.
- Meta-analysis wikiPageExternalLink AOS697.pdf.
- Meta-analysis wikiPageExternalLink open_meta.
- Meta-analysis wikiPageExternalLink www.clintools.com.
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- Meta-analysis wikiPageExternalLink www.epigear.com.
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- Meta-analysis wikiPageExternalLink meta-analysis_glossary.
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- Meta-analysis wikiPageExternalLink www.internovi.com.
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- Meta-analysis wikiPageExternalLink www.meta-analysis-made-easy.com.
- Meta-analysis wikiPageExternalLink www.metaanalysis.com.
- Meta-analysis wikiPageExternalLink www.metafor-project.org.
- Meta-analysis wikiPageExternalLink meta_analysis.
- Meta-analysis wikiPageExternalLink www.prisma-statement.org.
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- Meta-analysis date "April 2013".
- Meta-analysis hasPhotoCollection Meta-analysis.
- Meta-analysis reason "which industry?".
- Meta-analysis subject Category:Educational_psychology.
- Meta-analysis subject Category:Evaluation_methods.
- Meta-analysis subject Category:Evidence-based_practices.
- Meta-analysis subject Category:Medical_statistics.
- Meta-analysis subject Category:Meta-analysis.
- Meta-analysis subject Category:Methods_in_sociology.
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- Meta-analysis comment "In statistics, a meta-analysis refers to methods that focus on contrasting and combining results from different studies, in the hope of identifying patterns among study results, sources of disagreement among those results, or other interesting relationships that may come to light in the context of multiple studies. In its simplest form, meta-analysis is normally done by identification of a common measure of effect size. A weighted average of that common measure is the output of a meta-analysis.".
- Meta-analysis label "Meta-analisi".
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