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Statistical Reference Guide
Diagnostic performance
Comparing two or more ROC curves
Plot multiple receiver-operator characteristics (ROC) curves to make comparisons between them.
Select a cell in the dataset.
On the
Analyse-it
ribbon tab,
in the
Statistical Analyses
group,
click
Diagnostic
, and then under the
Accuracy
heading, click:
Option
Description
Compare ROC Curves
Compare 2 or more independent ROC curves.
Compare Correlated ROC Curves
Compare 2 or more paired/correlated ROC curves.
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.
If comparing 2 or more independent ROC curves, in the
Y
drop-down list, select the diagnostic test variable, and then in the
Factor
drop-down list, select the grouping variable.
If comparing 2 or more paired/correlated ROC curves, in the
Y
list, select the diagnostic test variables.
Click
Calculate
.
Related concepts
ROC plot
Area under the curve (AUC)
Related tasks
Testing the difference between the areas under two curves
Related reference
Dataset layout
Available in Analyse-it Editions
Method Validation edition
Ultimate edition
What is Analyse-it?
What's new?
Administrator's Guide
User's Guide
Statistical Reference Guide
Distribution
Compare groups
Compare pairs
Contingency tables
Correlation and association
Principal component analysis (PCA)
Factor analysis (FA)
Item reliability
Fit model
Method comparison / Agreement
Measurement systems analysis (MSA)
Reference interval
Diagnostic performance
Measures of diagnostic accuracy
Estimating sensitivity and specificity of a diagnostic test
Comparing the sensitivity and specificity two diagnostic tests
ROC plot
Plotting a single ROC curve
Comparing two or more ROC curves
Area under the curve (AUC)
Testing the area under the curve
Difference between the areas under two curves
Testing the difference between the areas under two curves
Decision thresholds
Decision plot
Finding the optimal decision threshold
Predicting the decision threshold
Study design
Survival/Reliability
Control charts
Process capability
Pareto analysis
Study Designs
Bibliography
Version 6.15
Published 18-Apr-2023
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