<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>53(2)</volume><submitter>Kadlec D</submitter><funding>Edith Cowan University</funding><pubmed_abstract>&lt;h4>Background and objective&lt;/h4>Meta-analysis and meta-regression are often highly cited and may influence practice. Unfortunately, statistical errors in meta-analyses are widespread and can lead to flawed conclusions. The purpose of this article was to review common statistical errors in meta-analyses and to document their frequency in highly cited meta-analyses from strength and conditioning research.&lt;h4>Methods&lt;/h4>We identified five errors in one highly cited meta-regression from strength and conditioning research: implausible outliers; overestimated effect sizes that arise from confusing standard deviation with standard error; failure to account for correlated observations; failure to account for within-study variance; and a focus on within-group rather than between-group results. We</pubmed_abstract><journal>Sports medicine (Auckland, N.Z.)</journal><pagination>313-325</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9877053</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>With Great Power Comes Great Responsibility: Common Errors in Meta-Analyses and Meta-Regressions in Strength &amp; Conditioning Research.</pubmed_title><pmcid>PMC9877053</pmcid><pubmed_authors>Nimphius S</pubmed_authors><pubmed_authors>Sainani KL</pubmed_authors><pubmed_authors>Kadlec D</pubmed_authors></additional><is_claimable>false</is_claimable><name>With Great Power Comes Great Responsibility: Common Errors in Meta-Analyses and Meta-Regressions in Strength &amp; Conditioning Research.</name><description>&lt;h4>Background and objective&lt;/h4>Meta-analysis and meta-regression are often highly cited and may influence practice. Unfortunately, statistical errors in meta-analyses are widespread and can lead to flawed conclusions. The purpose of this article was to review common statistical errors in meta-analyses and to document their frequency in highly cited meta-analyses from strength and conditioning research.&lt;h4>Methods&lt;/h4>We identified five errors in one highly cited meta-regression from strength and conditioning research: implausible outliers; overestimated effect sizes that arise from confusing standard deviation with standard error; failure to account for correlated observations; failure to account for within-study variance; and a focus on within-group rather than between-group results. We</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Feb</publication><modification>2025-04-26T01:37:44.231Z</modification><creation>2025-04-06T10:12:24.924Z</creation></dates><accession>S-EPMC9877053</accession><cross_references><pubmed>36208412</pubmed><doi>10.1007/s40279-022-01766-0</doi></cross_references></HashMap>