{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["53(2)"],"submitter":["Kadlec D"],"funding":["Edith Cowan University"],"pubmed_abstract":["<h4>Background and objective</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.<h4>Methods</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"],"journal":["Sports medicine (Auckland, N.Z.)"],"pagination":["313-325"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9877053"],"repository":["biostudies-literature"],"pubmed_title":["With Great Power Comes Great Responsibility: Common Errors in Meta-Analyses and Meta-Regressions in Strength & Conditioning Research."],"pmcid":["PMC9877053"],"pubmed_authors":["Nimphius S","Sainani KL","Kadlec D"],"additional_accession":[]},"is_claimable":false,"name":"With Great Power Comes Great Responsibility: Common Errors in Meta-Analyses and Meta-Regressions in Strength & Conditioning Research.","description":"<h4>Background and objective</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.<h4>Methods</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","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2025-04-26T01:37:44.231Z","creation":"2025-04-06T10:12:24.924Z"},"accession":"S-EPMC9877053","cross_references":{"pubmed":["36208412"],"doi":["10.1007/s40279-022-01766-0"]}}