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The binary pattern run length matrix is proposed for binary test.
The best cut-off value to predict the presence of EV was determined by Kolmogorov-Smirnov index, that is, a natural generalization to continuous test of Youden index for binary test [ 19].
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The model, test or marker under study should first be converted to a predicted probability of the undesirable outcome (e.g. cancer on biopsy) denoted by p ^ : for a binary test, these probabilities are set to 1 and 0 for positive and negative test results; for a molecular marker, marker levels should be converted to a probability using logistic regression.
The 95% confidence intervals (CI) for the binary test measures (sensitivity, specificity, and accuracy) were calculated using exact binomial confidence intervals.
The article concludes with preliminary recommendations for how to plan a binary test.
The area under the receiver operating characteristic curve (AUC) was determined for binary diagnostic test results for all genes.
We first compared patients' baseline characteristics in the FSM and UC groups using appropriate tests of statistical significance (i.e. Chi-square test for binary variables, t-test for continuous variables).
The first soft belief function (BHT-SB) is formulated for binary hypothesis testing like problems in speech processing.
We tested differences in matched case and control pairs using McNemar's test for binary variables, Bowker's test for categorical variables, and signed rank test for quantitative variables.
Qualitatively similar results were obtained when we carried out alternative non-parametric tests (Wilcoxon-Mann-Whitney test for binary predictor variables; Jonckheere Terpestra test for trends) on our data.
The ROC curves provide a display of the relationships between the true positive rates (sensitivities) and false positive rates (1 − specificities) related to all binary tests for the biomarker.
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