BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
lmyers2
Obsidian | Level 7

Hello,

 

I'm using SAS 9.4 full edition through a server. I will be running a logistic regression model with a very large data set (2700 observations in smaller group and 50000 observations in larger group). I have several categorical variables and am not sure how you program using the class statement and choosing the reference group for each, since I've only run a logistic regression model with 1 categorical variable. Can you help?

 

Thanks

Laura

1 ACCEPTED SOLUTION

Accepted Solutions
Reeza
Super User

Refer to the second example in the documentation which covers regression with categorical variables. 

Make sure to set the PARAM=REF on your model.

View solution in original post

2 REPLIES 2
stat_sas
Ammonite | Level 13

Hi,

 

This can be extended for multiple categorical variables in class statement. Assuming var1 and var2 are two classification variables.

 

proc logistic data=have;

class var1 (param=ref ref='A') var2 (param=ref ref=first);

model dep_var (event='1')= var1 var2;

run;

Reeza
Super User

Refer to the second example in the documentation which covers regression with categorical variables. 

Make sure to set the PARAM=REF on your model.

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!

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
  • 2 replies
  • 1343 views
  • 1 like
  • 3 in conversation