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. 2017 Aug 15;22(9):1250–1273. doi: 10.1038/mp.2017.128

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Copyright © 2017 The Author(s)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/

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Step 4: Testing for Diagnostics. Best single universal biomarkers predictors. From Top Dozen List (bold) and from Bonferroni List (combined 154 biomarkers). Bar graph shows best predictive biomarkers in each group. *Nominally significant P<0.05. **Survives correction for multiple comparisons testing of 154 biomarkers, P<0.000325. Table underneath the figures displays the actual number of biomarkers for each group whose region of interest (ROC) area under the curve (AUC) P-values are at least nominally significant. Some female diagnostic groups are missing from the graph, as they did not have any nominally significant biomarkers, due at least in part to the small number of cases.