Estimating sensitivity and specificity of a diagnostic test
Estimate the sensitivity/specificity and other measures of the accuracy of a binary diagnostic test (or a quantitative test at a specific decision threshold).
You can use this task with up to two binary tests or quantitative tests at a specified decision threshold. To show the sensitivity/specificity for all possible thresholds of a quantitative test you should use ROC curves.
- Select a cell in the dataset.
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On the Analyse-it ribbon tab, in the
Statistical Analyses group, click Diagnostic, and then click Binary (Sensitivity / Specificity).
The analysis task pane opens.
- In the True state drop-down list, select the true condition variable.
- In the Positive event drop-down list, select the state that indicates the presence of the condition/event of interest.
- In the Y drop-down list(s), select the test variable(s).
- If the Y variable is binary, in the Positive event drop-down list, select the state that indicates a positive test.
- If the Y variable is quantitative, click the menu next to the variable and select Cut-off, and then enter the criteria to recode the variable into a binary variable.
- If the data are in frequency form, in the Frequency drop-down list, select the frequency count variable.
- Optional: Select the appropriate TP/TN/FP/FN, Sensitivity / Specificity, Likelihood ratio, Predictive value check boxes.
- Click Calculate.
Related concepts
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