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Pairwise planned contrasts between groups were performed using the Tukey Kramer test.
The expression coefficients can be subjected to statistical tests, e.g. unpaired t-tests revealing significant mean contrasts between groups of subjects or conditions ("subject-condition expression coefficients"), or tests of regression or correlation with behavioral measures.
Direct contrasts between groups revealed that physical symptoms scores were higher among middle school students than the other two groups.
Interviews were analysed in groups (e.g. according to biopsy outcome, experience of infection, number of biopsies) and individually to identify commonalities and contrasts between groups or individuals.
In a recent meta-analysis contrasts between groups were shown to be significant for TCI/TPQ Harm avoidance but not for NEO Neuroticism [ 32].
Such designs make it difficult to separate the effects of distance to range edge from geographic location per se; interspecific comparisons and contrasts between groups of species have been suggested as an alternate and potentially more powerful approach [ 2].
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Categorical variables were contrasted between groups with the Chi-square test.
Maps were also contrasted between groups (patients at T1 vs. controls, patients at T2 vs. controls, and patients at T2 vs. T1) for a total of 9 comparisons.
The patterns of SBP, DBP, and BMI were plotted and contrasted between groups of cities. Chronic condition prevalence was higher for women in major cities than in contrasting cities (p<0.005).
Planned contrasts between the groups revealed a significant difference between the primary antibody omitted control and both MRs and GR (t = 10.496; p<.0010.496
Though reported sleep percent increased to 88% at the end of treatment, there were no significant contrasts between treatment groups.
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