McNemar test

Test for statistical significance of the differences in feeding. For multiple comparison, use Cochran Q test for matched two-sample comparisons (Data Sheet 8.1), McNemar test. 

Note For statistical purposes, the data from (c) and (d) were collapsed into one group. The boxes represent the 3 x 3 grid used for the McNemar test for significance of change. 

Cochran and McNemar test, Krnskal-Wallis test, specific data process to calculate D prime with A/not-A test with sureness ... 

To test the hypotheses, we used the McNemar Test for HI and the Wilcoxon signed-rank test (a non-parametric test used for dependent samples) for H2-H4 on a significance level of 0.95 (a = 0.05). 

Nominal X2 with Yates correction McNemar s test x2 —... 

Roggo, Y., Duponchel, L., and Huvenne, J.-P. (2003), Comparison of supervised pattern recognition methods with McNemar s statistical test Application to qualitative analysis of sugar beet by near-infrared spectroscopy, Anal. Chim. Acta, All, 187-200. 

Table 6.5 summarizes the results for each outcome prediction variable for the evaluation step. Accuracies obtained using the ANN model was inferior to those using SVM, RF, and LDA. Based on McNemar s test, fc-NN performed the worst for predicting source of bleeding. LDA appeared to demonstrate a good overall performance with regards to sensitivity, specificity, PPV, NPV, and accuracy (Table 6.5). ROC (receiver operating characteristic) curves are calculated and areas under the curve (AUC) are compared for each of the models. An ROC curve is a...

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