Sentence examples for bivariate models were used from inspiring English sources

Bivariate models were used to assess the association between Sept9 and all other available variables, including if any of the available variables modified the effect of the Sept9 test.

The reduced model can be written as: Finally, three specific bivariate models were used for the different association analyses, depending on indicator variable values included in X matrices: i. Mendelian inheritance: used in the analysis of the effect of RBP4, ESR1 and IGF2 polymorphisms.

Variables deemed significant at p < 0.20 in a bivariate model were used in a multivariate model.

A univariate animal model was used to estimate variance components, while a bivariate model was used to estimate genetic correlations.

Threshold effect existed (Spearman correlation coefficient: 0.657, p = 0.156 .Thus bivariate model was used to pool estimates.

Then, a bivariate model was used to carry out a subsequent analysis of litter size data.

A bivariate model was used to calculate estimates of overall sensitivity and overall specificity.

Pedigree-based EBV were obtained as described above, except that a bivariate model was used in this case.

Where possible, bivariate modeling was used to generate summary estimates of sensitivity and specificity and predictive values were assessed.

QUADAS was used for assessing the methodological quality of included studies and the bivariate model was used for this meta-analysis.

A bivariate model was used to calculate the pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR).