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. 2018 May 8;8:7121. doi: 10.1038/s41598-018-24909-8

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Prediction accuracy of multiple logistic regression models. Each subject’s cross-validated probability of being classified as a poor reader is plotted against each subject’s mean reading fluency (n = 28). Factors included in each multiple logistic regression model and overall cross-validated prediction accuracy are superimposed to each plot.