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

/*for continuous independent variable age*/

PROC GENMOD DATA = TEMP;

CLASS ID age ;

MODEL Y (EVENT = '1')  = age /dist=bin link = logit;

REPEATED SUBJECT = ID /TYPE = exch;

RUN;

/*for categorical independent variable gender*/

PROC GENMOD DATA = TEMP;

CLASS ID gender ;

MODEL Y (EVENT = '1')  = gender /dist=bin link = logit;

REPEATED SUBJECT = ID /TYPE = exch;

RUN;

Y is binary, 0 or 1.

Thank you!!!

1 ACCEPTED SOLUTION

Accepted Solutions
kaushal2040
Calcite | Level 5

Use  estimate statement.

PROC GENMOD DATA = TEMP;

CLASS ID gender ;

MODEL Y (EVENT = '1')  = gender /dist=bin link = logit;

REPEATED SUBJECT = ID /TYPE = exch;

ESTIMATE 'GENDER EFFECT' gender 1 -1/EXP;

RUN;

View solution in original post

2 REPLIES 2
kaushal2040
Calcite | Level 5

Use  estimate statement.

PROC GENMOD DATA = TEMP;

CLASS ID gender ;

MODEL Y (EVENT = '1')  = gender /dist=bin link = logit;

REPEATED SUBJECT = ID /TYPE = exch;

ESTIMATE 'GENDER EFFECT' gender 1 -1/EXP;

RUN;

peppapig
Calcite | Level 5

Thanks so much. It's working for the categorical variable gender!

When it comes to continuous variable, how to fit it to the estimate statement?

Thank you for your great help!

sas-innovate-2024.png

Available on demand!

Missed SAS Innovate Las Vegas? Watch all the action for free! View the keynotes, general sessions and 22 breakouts on demand.

 

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
  • 2 replies
  • 13188 views
  • 0 likes
  • 2 in conversation