Exact(5)
Disagreement between methods appeared to be greater in some children compared to others.
A general disagreement between methods was observed.
The area of disagreement between methods concerned genes with low differential expression.
Methodological biases and artefacts (e.g. the use of an incorrect ultrametric tree in the MYC approach or of a wrong model of evolution) can for sure explain some of the disagreement between methods (inter-approach pluralism).
Accordingly, using method S as the gold standard, the results from V can be classified as 'accurate' if the outcome is identical to that from S for a given attribute, or as 'inaccurate' if there is disagreement between methods S and V.
Similar(55)
However, we find greater disagreements between methods and lower accuracy for the other three input combinations (Supplementary Fig. S15 a c).
From the figure, small disagreements between methods can be seen around the start and end points of various segments demarcated by SSTs segment view (labelled SST SEG)).
Disagreement between the methods arises from many factors, including the type of ecological/landscape features that are assumed to contribute to the provision of aesthetic values, the use of context-specific or generic aesthetic value estimates, the scale of landscape evaluation and the level of integration of the landscape preference analysis.
Also, the existence of a proportionality bias was evaluated by determining whether the regression line through the points in the Bland-Altman plot was different from 0. A proportionality bias indicates that the disagreement between two methods depends on the actual measurement and is not equal throughout the measured range.
The main point of disagreement between the methods concerns the placement of the Hawaiian Drosophilidae, which under BI and MP clusters with the virilis-repleta radiation (as shown, and in accordance with [10]), and outside under NJ (alternate topology shown in Figure S4A).
We found some disagreement between which methods performed well when different negative data sets were used.
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