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• W2163408766 abstract "Meta-analyses of biomarkers often present spurious significant results and large effects. We applied sensitivity analyses with the use of credibility ceilings to assess whether and how the results of meta-analyses of biomarkers and cancer risk would change.We evaluated 98 meta-analyses, 43 (44%) of which had nominally statistically significant results. We assumed that any single study cannot give more than a maximum certainty 100 - c% (c, credibility ceiling) that the effect estimate [odds ratio (OR)] exceeds 1 (null) or 1.2.Nominal statistical significance was maintained for 21 (21%) meta-analyses, for c = 10% and OR >1, and these proportions changed to 7%, 3%, and 6% with ceilings of 20%, 30%, and 40%, respectively. For ceilings for OR >1.2, the respective proportions were 37%, 21%, 7%, and 3%. Seven meta-analyses on infectious agents retained statistical significance even with a high ceiling of c = 20% for OR >1.00. Meta-analyses without other hints of bias (large between-study heterogeneity, small-study effects, excess significance) were more likely to retain statistical significance than those that had such hints of bias.Credibility ceilings may be helpful in meta-analyses of biomarkers to understand the robustness of the results to different levels of uncertainty." @default.
• W2163408766 created "2016-06-24" @default.
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• W2163408766 date "2015-02-01" @default.
• W2163408766 modified "2023-10-16" @default.
• W2163408766 title "Application of credibility ceilings probes the robustness of meta-analyses of biomarkers and cancer risk" @default.
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• W2163408766 doi "https://doi.org/10.1016/j.jclinepi.2014.09.004" @default.
• W2163408766 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25433443" @default.
• W2163408766 hasPublicationYear "2015" @default.
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