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Correction

Correction: Using ROC Curves to Choose Minimally Important Change Thresholds when Sensitivity and Specificity Are Valued Equally: The Forgotten Lesson of Pythagoras. Theoretical Considerations and an Example Application of Change in Health Status

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There is an error in affiliation 2 for author Robert Froud. Affiliation 2 should be: Norges Helsehøyskole, Campus Kristiania, Prinsens Gate 7-9, Oslo, Norway.

In Table 1, the Sum of Squares x100% column is incorrect. Please see the corrected Table 1 here.

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Table 1. Sensitivity and specificity data for the ROC curve in Fig. 3A

https://doi.org/10.1371/journal.pone.0120967.t001

Reference

  1. 1. Froud R, Abel G (2014) Using ROC Curves to Choose Minimally Important Change Thresholds when Sensitivity and Specificity Are Valued Equally: The Forgotten Lesson of Pythagoras. Theoretical Considerations and an Example Application of Change in Health Status. PLoS ONE 9(12): e114468. pmid:25474472

Citation: The PLOS ONE Staff (2015) Correction: Using ROC Curves to Choose Minimally Important Change Thresholds when Sensitivity and Specificity Are Valued Equally: The Forgotten Lesson of Pythagoras. Theoretical Considerations and an Example Application of Change in Health Status. PLoS ONE 10(3): e0120967. https://doi.org/10.1371/journal.pone.0120967

Published: March 16, 2015

Copyright: © 2015 The PLOS ONE Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited