Sentence examples for assess variance from inspiring English sources

Statistical plots principal component analysis (PCA) and distance matrix analysis were generated with the same package to assess variance between sample groups and sample replicates (Fig. 3c,d).

The aim of the study is to assess variance components in observer performance studies and the possible impact on study results and conclusions.

The current study was designed to assess variance in HPA axis function using two rodent models commonly used in aging studies: Fischer 344 (F344) and F344/Brown Norway F1 hybrid rats (F344/BN).

Principal component analysis (PCA) was used to assess variance within water chemistry, solids chemistry, and XAFS spectral datasets.

Bartlett's test was used to assess variance homogeneity.

Three-factor ANOVA was used to assess variance due to litter, gestational age, and strain.

Comparisons of data among experimental groups were performed using student's t-test for assessing variance.

Multicollinearity was tested in each imputed data set respectively by assessing variance inflation of the weighted linear model [ 45].

Comparisons of data between groups were performed by using the Student t test or ANOVA for assessing variance.

Multicollinearity among the independent variables was examined by assessing variance inflation factors (VIF) in the full model prior to backward selection [ 23].

Further, we checked potential problems with collinearity in each model by assessing variance inflation and found that this was lower than 2 for all independent variables in all models.