Sentence examples for variance of measures from inspiring English sources

A disadvantage of the ICC, however, is that the statistic is dependent on the variance of measures within the study population.

From computation, a sample size of 400 patients would have been sufficient, but we had to take the cluster effect into account, related to the fact that the patients were recruited in different practices (adjustment taking into account the artificial decrease of the variance of measures collected in the same practice).

A sample size of 400 patients would have been sufficient, but we had to take the cluster effect into account, related to the fact that the patients were recruited in different practices (adjustment for taking into account the artificial decrease of the variance of measures collected in the same practice).

Again in this study, at a cross-sectional level, we see that the six constructs reflected in the Emotion Awareness Questionnaire have a high predictive value regarding the variance of measures for depression, fear and worrying and ruminative thoughts in children around 9 years old (32, 37 and 54 %, respectively).

No difference of variance of measures of skeletal dimensions was found between subspecies (O. r. divergens and O. r. rosmarus, respectively), age and sex so data were pooled (Subspecies difference, F-test values: Scapula 2.84; DF = 6,8; Humerus 5.05; DF = 8,2; Ulna 1.87; DF = 8,5; P > 0.05.

Analyzing twin pairs, Pajala et al. [ 13] concluded that about half the variance of measured walking speed derived from the environment and the methodology of walking tests.

Simply put, PLP implements a discrimination algorithm to find a minimal set of EMs based on two criteria: i) variance of measured phenotypic trait explained by each EM and ii) degree of correlation of each EM with the environmental state.

A previous study has shown that recall bias accounted for less than 1% of reporting variance for measures of childhood abuse (Fergusson et al., 2011).

ICC provides the percentage of the total variance of the measures that can be attributed to the variability between subjects.

Data were analyzed by the ANOVA statistics program using a two factor analysis of variance of repeated measures.

We identified three major components (PC1, PC2 and PC3) that could explain up to 90% of the total variance of these measures (Supplement Table S3).