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Comparisons between groups were made assuming parametric data using Student's t test for pairwise comparisons or one-way ANOVA with post hoc Tukey's test for multiple group comparisons at respective time point.
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Of note, most existing studies assume parametric two-part models.
As normality could be assumed, parametric statistics could be used.
Other comparisons including outcomes stratified by baseline CD4 count (< or >100 and by quartiles <36, 36 110, 111 196, >196/µl) were made with standard parametric and non-parametric statistical tests.
Permutation tests have the advantage of not assuming a parametric underlying distribution of expression values.
Comparisons were made using the parametric Student's t test and non-parametric Mann-Whitney U test, as applicable.
This could be removed by assuming a parametric model for the illuminant power spectrum.
Mean, correlation coefficient, and group comparison was made with non parametric Mann-Whitney U test.
Analyses of distributions were performed before decisions were made to use parametric tests.
Time comparison between groups was made using non-parametric Kruskal Wallis test.
aComparison within group of variables was made with non-parametric trend.
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