Sentence examples for using the binormal mixture from inspiring English sources

Using the binormal mixture model, estimates of true prevalence were obtained directly for the different age groups.

Regarding the discrimination capacity, Figure 2 shows both the estimation of the ROC curve (bold line) derived from the training set using the binormal method and the empirical ROC curve (dashed line) obtained with the testing set.

Using the obtained binormal mixture model a direct estimate of the true seroprevalence per age category was obtained, making correction for sensitivity and specificity unnecessary.

The cut-off value obtained from the binormal mixture model was subsequently used to score wild boar as positive or negative.

The seroprevalence c(i) for each age group A(i) was determined by fitting the binormal mixture model with means and standard deviations as obtained before, but leaving the mixing parameter to be estimated.

Test again using the soapy water mixture.

Repeat using the remaining olive oil and potato mixture.

The binormal AUC is estimated using the empirical estimators of the distribution functions (for formula see Table 2, for details see for example the book of Pepe [ 10]).

Because of a lack of appropriate reference sera a cut-off value was selected from a binormal mixture model fitted to the log-transformed optical density-values [5], and used to score wild boar positive or negative.

A binormal mixture model was fitted to the log-transformed optical density values for wild boar up to 20 months old to estimate the optimal cut-off value (−0.685) and accompanying sensitivity (90.6%) and specificity (93.6%).

A binormal mixture model [5] was fitted to the log10-transformed corrected OD-values for wild boar up to 20 months of age (n = 722) to estimate the cut-off value at which the number of correctly scored animals is highest, and accompanying sensitivity and specificity.