BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
div44
Calcite | Level 5

Hello,

 

I am having difficulty to retain the labels for the respective variables while generating the output for regression using proc logistic.

Though the dataset has the labels retained, I am unable to see them in the output. Any suggestions?

 

proc logistic data = have;
class x (ref = "0") y (ref = "0")/ param=ref;
model z (ref="0") = x y;
label x = 'drug use binary'
y = 'travel binary';
run;

 

Thank you 

1 ACCEPTED SOLUTION

Accepted Solutions
PeterClemmensen
Tourmaline | Level 20

Use the PARMLABEL option in the MODEL statement as described here

 

http://support.sas.com/kb/35/973.html

View solution in original post

4 REPLIES 4
ballardw
Super User

Which output? Do you have a specific table in mind?

div44
Calcite | Level 5

The table of OR estimates

PeterClemmensen
Tourmaline | Level 20

Use the PARMLABEL option in the MODEL statement as described here

 

http://support.sas.com/kb/35/973.html

AbuYusuf
Calcite | Level 5

yes, that's the one. Sorry for not clarifying it at the beginning.

sas-innovate-2024.png

Don't miss out on SAS Innovate - Register now for the FREE Livestream!

Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.

 

Register now!

How to Concatenate Values

Learn how use the CAT functions in SAS to join values from multiple variables into a single value.

Find more tutorials on the SAS Users YouTube channel.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 4 replies
  • 3508 views
  • 0 likes
  • 4 in conversation