BookmarkSubscribeRSS Feed
GS2
Obsidian | Level 7 GS2
Obsidian | Level 7

Using SAS 9.4 

 

I have a 3 level response variable and continuous predictor variable (see data example below). What would be the best method to get the sensitivity, specificity, positive predictive value and negative predictive value and to create a ROC/AUC plot?

 

data have;
infile datalines delimiter=',';
input flex $ motor;
datalines;
Baseline,3
Baseline,4
Baseline,5
Baseline,6
Negative, 7
Negative, 8
Negative, 9
Negative, 10
Negative, 5
Negative, 4
Negative, 8
Negative, 9
Positive,10
Positive,7
Positive,3
Positive,5
Positive,6
Positive,8
Positive,10
Positive,4
Positive,3
;

 

I tried the code below; however, I get the the following note in the log

"NOTE: Since there are more than 2 response levels, the OUTROC= option has no effect."

 

ods graphics on;
proc logistic data=want outest=parms(keep=intercept motor);
model flex(event='Positive')= motor / outroc=roc1;
output out=out p=phat;
run;
ods graphics off;

1 REPLY 1
StatDave
SAS Super FREQ

The statistics you mention, including the ROC curve, is only defined for a binary response. However, a multinomial version of the AUC statistic is available from the MultAUC macro.

SAS Innovate 2025: Register Now

Registration is now open for SAS Innovate 2025 , our biggest and most exciting global event of the year! Join us in Orlando, FL, May 6-9.
Sign up by Dec. 31 to get the 2024 rate of just $495.
Register now!

What is ANOVA?

ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 1 reply
  • 596 views
  • 0 likes
  • 2 in conversation