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We are aware that our data do not fulfil the assumptions of anova (arcsin transformations did not improve the fit) but are confident that the model is sufficiently robust for this analysis of pairwise comparisons.
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Our data did not fulfil the Gauss Markov assumptions, and thus, the ordinary least squares (OLS) estimator was not BLUE.
Most data did not fulfil the conditions of normality and homoscedasticity and could not be improved by transformation.
Data did not fulfil the requirements of parametric tests and were then analyzed by means of Kruskal-Wallis tests, Dunn's multiple comparison, and Bartlett test (with the corresponding alpha level adjustment).
Since the data did not fulfil the criteria for normal distribution, the Wilcoxon signed-rank test was used for statistical analysis to compare the presurgical and postsurgical data.
As the data did not fulfil some of the requirements for using parametric statistics, all analyses were conducted with non-parametric tests.
Because the categorical data did not fulfil the assumptions of normal distribution and homogeneity of variances, non-parametric tests were performed including Kruskal-Wallis and Mann-Whitney comparisons (p = 0.05) and Spearman's rho correlation (p = 0.01).
The goal of this process is to ensure that SA not evoked by the stimulus is largely kept out of the analysis (e.g. it falls outside the defined response window) and that data features that do not correspond to stimulus-evoked SA are also largely discarded (e.g. these data features do not fulfil peak criteria).
The data described above do not fulfil a central prediction of the astrocyte-to-neuron lactate shuttle model, that is, the rise in total glucose utilization during brain activation of normal conscious subjects in vivo would be accompanied by a corresponding increase of similar magnitude in trapping of labelled products of glucose via the oxidative pathways.
Quality of life data on other HPV related cancers mostly do not fulfil criteria for the reference case used by the National Institute for Health and Clinical Excellence (NICE), 25 so we had to rely on alternative sources of data.
Service providers from non-EU countries do not fulfil these requirements and are therefore not suitable for reliable data protection.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com