Difference between revisions of "Meta-analysis"
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| + | [[File:Hierarchy_of_Evidence.png|thumb|Meta-analyses offer the most compelling evidence.]] |
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A [[meta-analysis]] is a statistical analysis that combines the results of multiple scientific studies. Meta-analyses can be performed when there are multiple scientific studies addressing the same question, with each individual study reporting measurements that are expected to have some degree of error. The aim then is to use approaches from statistics to derive a pooled estimate closest to the unknown common truth based on how this error is perceived. Meta-analytic results are considered the most trustworthy source of evidence by the evidence-based medicine literature.<ref>https://en.wikipedia.org/w/index.php?title=Meta-analysis&oldid=1148306249</ref> |
A [[meta-analysis]] is a statistical analysis that combines the results of multiple scientific studies. Meta-analyses can be performed when there are multiple scientific studies addressing the same question, with each individual study reporting measurements that are expected to have some degree of error. The aim then is to use approaches from statistics to derive a pooled estimate closest to the unknown common truth based on how this error is perceived. Meta-analytic results are considered the most trustworthy source of evidence by the evidence-based medicine literature.<ref>https://en.wikipedia.org/w/index.php?title=Meta-analysis&oldid=1148306249</ref> |
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Not only can meta-analyses provide an estimate of the unknown effect size, it also has the capacity to contrast results from different studies and identify patterns among study results, sources of disagreement among those results, or other interesting relationships that may come to light with multiple studies.<ref>https://en.wikipedia.org/w/index.php?title=Meta-analysis&oldid=1148306249</ref> |
Not only can meta-analyses provide an estimate of the unknown effect size, it also has the capacity to contrast results from different studies and identify patterns among study results, sources of disagreement among those results, or other interesting relationships that may come to light with multiple studies.<ref>https://en.wikipedia.org/w/index.php?title=Meta-analysis&oldid=1148306249</ref> |
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| − | Meta-analyses and [[longitudinal studies]] offer the most compelling results and should be cited in advocacy in preference to individual studies. |
+ | Meta-analyses and [[longitudinal studies]], also known as cohort studies, offer the most compelling results and should be cited in advocacy in preference to individual studies. |
[[PASK]] is a meta-analysis. |
[[PASK]] is a meta-analysis. |
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Latest revision as of 10:57, 13 November 2024
A meta-analysis is a statistical analysis that combines the results of multiple scientific studies. Meta-analyses can be performed when there are multiple scientific studies addressing the same question, with each individual study reporting measurements that are expected to have some degree of error. The aim then is to use approaches from statistics to derive a pooled estimate closest to the unknown common truth based on how this error is perceived. Meta-analytic results are considered the most trustworthy source of evidence by the evidence-based medicine literature.[1]
Not only can meta-analyses provide an estimate of the unknown effect size, it also has the capacity to contrast results from different studies and identify patterns among study results, sources of disagreement among those results, or other interesting relationships that may come to light with multiple studies.[2]
Meta-analyses and longitudinal studies, also known as cohort studies, offer the most compelling results and should be cited in advocacy in preference to individual studies.
PASK is a meta-analysis.
See Also
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