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Specifically, we refined our previous dichotomous classification scheme to one that evaluates group-membership by quantitative ratings.
Unpaired t-tests with adjustments for multiple comparisons were used to evaluate group mean change differences (P ⩽ 0.05/25 ⩽ 0.002).
Three groups were evaluated: group I, diabetic fibroblasts only; group II, diabetic fibroblasts co-cultured with normal fibroblasts; group III, diabetic fibroblasts co-cultured with normal BSCs.
A general stepwise linear regression model was used to evaluate group differences and identify covariates (age, brain pH and postmortem interval).
Poisson regression was used to evaluate group differences in NSP, and linear regression was used to evaluate group differences in DO after logarithmic transformation of DO.
We also evaluated group by time interactions using repeated measures analysis of variance.
The Kruskall-Wallis test was used for evaluating group differences in JPE and ROM-variability.
In addition, we evaluated group differences in amygdala activation to the US.
We used analysis of variance (ANOVA) to evaluate group differences at baseline and effects of training.
Studies evaluating group therapy for PTSD in particular are even more scarce.
Stability correlations are the usual method of evaluating group distribution stability or, more precisely, differential continuity.
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