Sentence examples for subject variances from inspiring English sources

As a general observation, item variances were much larger than subject variances (Table 1).

Repeatability was also assessed using intra-class correlation (ICC), which measures the contribution of between subject variances to total variance.

Perusal of Figure 1 reveals that observer J and R have subject variances relatively independent from their means.

For instance, using the exchangeable multivariate hierarchical Bayesian method (HB1), the within and between subject variances and covariance estimates and 95% credible regions were easily determined, as were intra-class coefficients.

For HB1 the subject variances should be independent of their mean for each method while for HB2 the subject paired difference variances should be independent of the subject paired difference means.

The ICC is defined as the ratio of the between-subject variance over the between-subject+within subject variances and has previously been used to assess agreement of IHC scores (Kirkegaard et al, 2006).

Subject variance was found to dominate the metabolomics data although the variations in subject age and BMI were very small.

Neither of these revealed a difference confirming that despite the increased within-subject variance in the first 21 subjects, the overall mean and between subject variance was equal between these groups meaning the first 21 measurements were still valid.

A second level analysis was performed to incorporate both within subject and between subject variance, allowing inference to the population.

We avoided between subject variance of no interest by using a within subjects design.

The ICC was calculated as the ratio of subject variance to the total variance of the cohort.