Sentence examples for models were sensitivity from inspiring English sources

Temporally-adjusted residuals were used for selection of spatial covariates, and final models were sensitivity tested against the use of data from other DEP monitors.

Two important indicators of the performance of a given QSAR model are sensitivity (Se) and specificity (Sp).

Diagnostic performance measures for all models assessed were sensitivity, specificity, positive and negative likelihood ratios (LR+ and LR−), and the diagnostic odds ratio (DOR).

The ranking from random-effects models was: cost, sensitivity, process, specificity, preparation and pain.

19 26 We then calculated the common diagnostic accuracy measures of the models (that is, sensitivity, specificity, and positive and negative predictive values).

Additional models were created as sensitivity analyses.

Time-varying covariate models were used as sensitivity analyses.

Several alternative models were evaluated in sensitivity analyses.

Three additional stepwise adjustment models were developed for sensitivity analyses.

Trim and fill tests combined with conversion between different effect models were performed in sensitivity analysis.

Models were tested for sensitivity and specificity by evaluation against classified positive and negative sequences, as described below.