Clear and precise explanation of the analytical methods used, including why the analytical method is justified

ROC analyses against both ALSci/cbi diagnoses and a score below the cutoff on the ECAS total and ALS-specific subtest scales were used to evaluate the diagnostic accuracy of the AVNT. When comparing clinical sensitivity and specificity for every potential cut-off for a test or set of tests, ROC curves are typically used to graphically illustrate the relationship between the two. The ideal cutoff determined by the Youden index was tested against ALSci/cbi diagnoses to determine the sensitivity, specificity, and post-test characteristics of the AVNT-positive and negative predictive values (PPV; NPV), and likelihood ratios (LR+; LR-). The association between AVNT scores and disease-related factors and ECAS measures was investigated using either parametric or non-parametric methods, depending on whether the data were distributed normally (skewness and kurtosis values). When necessary, multiple comparisons underwent Bonferroni correction. SPSS 27 was used for analysis (Aiello, Edoardo Nicolò et al.,2022 p.3).