Clinical Research
Copyright ©The Author(s) 2005.
World J Gastroenterol. Jul 28, 2005; 11(28): 4375-4381
Published online Jul 28, 2005. doi: 10.3748/wjg.v11.i28.4375
Figure 2
Figure 2 (PDF) Proportion of patients with delayed and normal gastric emptying who where correctly classified on the basis of their predicted probabilities obtained from the estimated coefficients of the second model reported in Table 2 (i. e., sensitivity and specificity, respectively). These proportions are plotted with cut-off levels varying between 0 and 1 (see “lsens” function in Ref.[37]). As expected, when the cut-off value is close to zero all individuals with an actual delayed gastric emptying will be correctly classified and thus having a very high sensitivity. In contrast, with very low cut-off values also those having a normal gastric emptying will be classified as “delayed” by the model and thus having a very low specificity. As the cut-off value used for classification increases, the model will provide the worst performances for the sensitivity and the best performances for the specificity. Circles identify sensitivity and squares specificity. Arrow indicates the probability cut-off value of 0.398, i.e., the estimated prevalence of delayed gastric emptying in this sample.