between-subject variation

between-subject variation

Those difference in a parallel trial design, which are used to assess treatment differences in different individuals.
References in periodicals archive ?
The variation on 3 levels, the between-subject variation ([CV.sub.G]), within-subject biological variation ([CV.sub.I]), and [CV.sub.A], were calculated using a nested ANOVA with 95% CIs determined according to the method of Burdick and Graybill (8, 26, 30).
Temporal reproducibility refers to the consistency of measurements of more than one sample from the same person at different times (Willett and Lenart 1998) and is expressed by the intraclass correlation coefficient (ICC) as the ratio of between-subject variation to total variation (sum of within- and between-subject variation).
Based on matched student-teacher data for the US, the estimation strategy exploits between-subject variation to control for unobserved student traits.
The between-subject variation in treatment efficacy, based on our own meta-analysis (Tables SA2-SA4) varied between treatments for each risk factor as well as between risk factors.
However, the IQC was stable during this period, and so the effect on the between-subject variation is probably negligible.
Estimates for the between-subject variation, [[sigma].sup.2.sub.A], and the within-subject variation, [[sigma].sup.2.sup.B], are also shown in Table 3.
In pregnancy (9 samples), the transformation from absolute results to MoM and lnMoM reduced the within-subject variation ([CV.sub.I]) for PS free and PS activity, whereas the between-subject variation ([CV.sub.G]) was not changed (see online Supplemental Table 4).
When the different components of the variation (between-, within-subject and analytical) were separated, the between-subject variation varied from 4.1% to 31.2%, the within-subject variation from 2.6% to 25.6% and the assay variation from 1.3% to 12.9% (for details see Table 2).
The II, which indexes within-subject to between-subject variation, was low in both groups, supporting the potential utility of RCV in interpreting troponin trends even among dialysis patients.
Between-run analytical variation will be a part of the calculated within- and between-subject variation. Between-run variation can be estimated by comparing total analytical imprecision (given for STA Compact, Simple Simon, and CoaguChek XS above) with within run analytical imprecision (see above) for each instrument.
An important part of the total variance in plasma Lp-PL[A.sub.2] concentration was explained by between-subject variation, which was 66.1% of the total variance, whereas the within-subject variance was 31.3% of the total variance.
The analytical goals for imprecision, defined as one half of the biological within-subject variation, and the index of individuality, defined as the ratio of the biological withinsubject variation and the between-subject variation ([CV.sub.WS]/[CV.sub.BS]), for ALA and PBG are shown in Table 3.