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. 2012 Jul 11;7(7):e40358. doi: 10.1371/journal.pone.0040358

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van Vliet et al.

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 properly credited.

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A) Bar plot indicating the average DLCV eFPFN errors obtained using the NMC classifier with different integration strategies, and types of input data. These results were obtained using the 521 cases from the four independent datasets. B) Overview of all pairwise comparisons of the NMC classifiers, by means of a one sided, paired t-test, testing the hypothesis that the error associated with the approach listed in the row is lower than the error associated with the approach listed in the column. Red cell shading indicates a p-value smaller than , and white cell shading indicates that the p-value was larger than . C) Kaplan-Meier curves of the NMC classifier without integration, and the intermediate and late OR integration strategy. We’ve indicated the p-value from the logrank test, and the fraction at five years.

Inline graphic — A) Bar plot indicating the average DLCV eFPFN errors obtained using the NMC classifier with different integration strategies, and types of input data. These results were obtained using the 521 cases from the four independent datasets. B) Overview of all pairwise comparisons of the NMC classifiers, by means of a one sided, paired t-test, testing the hypothesis that the error associated with the approach listed in the row is lower than the error associated with the approach listed in the column. Red cell shading indicates a p-value smaller than , and white cell shading indicates that the p-value was larger than . C) Kaplan-Meier curves of the NMC classifier without integration, and the intermediate and late OR integration strategy. We’ve indicated the p-value from the logrank test, and the fraction at five years.