These results provide face validity for the use of IVCCM in longitudinal studies evaluating the predictive role of small fibers in predicting the onset of clinical DSP.
Comparison of experimental data with predictions of a simulation model is useful for evaluating the predictive ability of the mathematical model and for speculating about molecular mechanisms generating negative/positive genetic interactions [ 7, 9, 10].
But this is not useful evidence in evaluating the predictive value of S.A.T. scores.
Leave-one-out and leave-group-out cross validation was carried out with the aim of evaluating the predictive power of the model.
Although many studies have focused on ordinary buildings for evaluating the predictive capability of the different intensity measures (IMs), those dedicated to structures with dampers are scarce.
In this review, we summarize advances from affective neuroscience using neural measures to assess vulnerabilities in youth at high risk for depression due to parental history of depression or temperament style, as well as prospective designs evaluating the predictive validity of these vulnerabilities for symptoms and diagnoses of depression across development.
Evaluating the predictive validity of suicidal intent and medical lethality in youth.
Evaluating the predictive performance of the LASSO-model, we obtained the ROC curve, shown in Fig. 1 together with an apparent area under the ROC curve (AUC) of 0.78 (95% CI: 0.65-0.91) in our sample.
The ROC curves are significant for evaluating the predictive accuracy of a chosen model particularly in dichotomous statistical modeling such as logistic regression (Gorsevski et al. 2006), and the area under the curve obtained from the ROC (receiver operating characteristics) plot is the most preferred and applicable type of statistical assessment (Akgun et al. 2012).
The CV technique is an effective method for evaluating the predictive capability of a statistical model for an unknown data set based on the generalization error (GE) (e.g. Bishop 2006; Kuwatani et al. 2014), and this approach has been generally applied to model selection (e.g. Stone 1974, 1977; Geisser 1975).
By evaluating the predictive performance of the model, we provide a comprehensive quantification of the structure-function relationship based only on local structure similarity.
