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Here, the study goes beyond the simple average and identifies independently trajectory groups of variance of adherence within each average adherence group.
We performed a moderated t-test: rather than estimating within-group variability for each gene, we assume several groups of variance shared by similar genes using a mixture model VarMixt.
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The Mann–Whitney U test and Kruskal Wallis test are the analogous nonparametric methods of t-test and one-way between-groups of variance (analysis of variance, ANOVA), respectively.
Student t-test was used to compare means between two groups of variables whereas for more than two groups analysis of variance (ANOVA) was applied.
In analyses of more than two groups, analysis of variance (ANOVA) was conducted with Tukey multiple comparison analyses to compare individual groups.
The between groups analysis of variance for anxiety (STAI)) and depression (BDI) indicated a significant statistical group effect (F = 5,7, p = 0 006 ; F = 6 3, p = 0 003).
To analyze differences and draw multiple comparisons among the three groups, one-way between-groups analysis of variance (ANOVA) and the Scheffe test were employed.
Intermediate statistical methods: comparing groups (analysis of variance); analyzing associations (linear and logistic regression); and methods for categorical data (contingency tables and odds ratio).
Results: The HAQ-S showed significant differences among the groups (analysis of variance on ranks, P[lt ].001).
Resultant data were subjected to repeated measures, between groups analysis of variance testing for all 82 neurocognitive and psychological test measures.
For statistical comparison of quantitative data between groups, analysis of variance (ANOVA) or t test was performed.
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