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Heritability estimates for the quantitative traits were derived from bivariate models with the binary life history classifications.
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The pooled relative sensitivities and specificities of either screening test versus another were obtained from the pooled absolute accuracy measures assessed by a bivariate model with the method of moments, 27 allowing for inter-setting variability.
The pooled relative sensitivities and specificities of fructosamine compared with each of the other measures of glycaemia will be obtained from the pooled absolute accuracy measures assessed by a bivariate model with the method of moments, 27 allowing for intersetting variability.
Logistic regression models were developed for those assigned to have died of HIV/AIDS and TB using an initial series of bivariate models with an outcome of 1 if the deceased used traditional or herbal treatments at any time during the final illness.
We do believe that further characterizations based on those relations will elevate the generalized Gumbel's laws as a starting point and a base for obtaining new bivariate models, with higher flexibility and chances to better model the genuine dependence structure.
We choose this class of copula since it provides an easy manner to construct bivariate models with a variety of dependence structures.
Covariates were initially included if they were associated in bivariate models with a p-value ≤ 0.25; they were then excluded in a backwards stepwise fashion, keeping variables in the model if they were associated at p ≤ 0.10.
When birth mass and head width were analyzed in bivariate models with litter size, there were only minor differences in variance components compared to those derived from univariate models.
However, further sensitivity analysis with other values of the naïve estimate of the odds ratio indicated that a value between 1.0 and 1.5 gave more reliable corrected estimates compared to values of 1.5 or higher, particularly for approach A. It is worth noting that these computations are only applicable to bivariate models with one error prone variable.
Age was also a significant predictor of energy to failure, since with the first bivariate model, with age and gender, the energy to failure presented a beta coefficient with a significant difference (p = 0.01).
To compare index tests, we extended the bivariate model with a covariate indicating the type of index test.
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