Plot versus criterion values

Command:

Statistics ROC curves Plot versus criterion values

Description

In this graph (part of ROC curve analysis) the sensitivity and specificity, and optionally their 95% Confidence Intervals, are plotted against the different criterion values.

Required input

Variable: identify the variable of interest.

Classification variable: select or enter a dichotomous variable indicating diagnosis (0=negative, 1=positive). If diagnosis is coded differently than using the values 0 and 1, you can use the IF function to transform the codes into 0 and 1 values, e.g. IF(RESULT="pos",1,0).

Select: (optionally) a selection criterion in order to include only a selected subgroup of cases (e.g. AGE>21, SEX="Male").

Options:

- Show 95% Confidence Intervals as:

• error bars: show the 95% Confidence Interval of sensitivity and specificity as error bars
• connected lines: show the 95% Confidence Interval of sensitivity and specificity as connected lines (recommended when number of criterion values is high)
• do not show CI: do not show the 95% Confidence Interval of sensitivity and specificity in the graph.

- Log transformation of data.

Graph