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The normality and homoscedasticity of the residuals were checked by statistical tests, and graphic analysis of residuals was done to provide information about the consistency.
The results are analyzed by statistical tests and show that the first proposed metaheuristic yielded results with the best quality, while the second achieved the best computing times.
The contribution of each individual feature is evaluated by statistical tests; and the correlation between features is reduced by principal component analysis (PCA).
None of the three possible arrangements of the paenungulate orders were either well supported or rejected by statistical tests, and even afrosoricid diphyly (e.g., with either Tenrecoidea or Chrysochloridae placed as the sister taxon of Macroscelidea) could not be rejected (Table 1).
By statistical tests and other computational methods, the two-class and multi-class array data are usually analyzed focusing on the class-specific signature genes (i.e., genes that are expressed for one/some class es) and unexpressed for the other/rest of the class es)).
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Publication bias was explicitly mentioned in 75 reviews (65.8%) and 47 of these had performed statistical methods to investigate publication bias in terms of small study-effects: 6 by drawing funnel plots, 16 by statistical testing and 25 by applying both methods.
This motivated us to develop an advanced procedure of biomarker extraction using the ideas proposed in Schleif et al. (2007): (i) discrete wavelet transformation (DWT) of the spectra, (ii) features (wavelet coefficients) selection by statistical testing and (iii) support vector machine (SVM) classification, see Supplementary Figure 1 for an overall scheme.
The different groups defined by the tree were very well supported by statistical tests (CP and BS).
The analysis of residuals confirmed the validity of the model: they had zero mean, Gaussian distribution (confirmed by statistical tests of Jarque-Bera and Lilliefors) and were independent (hypothesis confirmed by Runs Test).
The analysis is to be done only for the primary outcome, be complemented by statistical tests of interaction, and be corrected for multiple comparisons (Section 2.8.4 GMS TAPS 5).
The order of the sequence is usually verified in the model calibration phase, verifying the different hypotheses by statistical tests performed on the single parameters and sub-models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com