The extant research is inconclusive regarding the best sampling methods to construct reliable measures of between-person differences in derived parameters of diurnal cortisol, and no study provides such recommendations for detecting within-person changes.
We used the Cochran Q test and the I statistic as measures of between-study heterogeneity.
Specifically, for pair-wise comparisons where sufficient direct evidence is available, one can compute measures of between-study (statistical) heterogeneity in the context of standard pair-wise meta-analyses (eg, I).
However, a measure of between-subject variability is not integrated.
Here, Reynolds genetic distances [ 50] were used as a measure of between-breed diversity, while within-breed diversity was ignored.
The overall population 95% tolerance interval (columns 3 and 4) provides a measure of between-child variability.
The animal variance component was taken as the measure of within-population variance, while the population variance component was taken as a measure of between-population variation.
In contrast, CAP is not restricted to a particular measure of between-patient differences; therefore it is a much more general technique.
Pearson correlation coefficients between variable changes (except between measures of adiposity and between fasting glucose and A1C) were all <0.46.
We used the I statistic as a measure of between study heterogeneity.
The variance τ as a measure of between trial heterogeneity varied between 0.00 and 0.52 (median 0.04, table 1).
