BookmarkSubscribeRSS Feed
LNL
Calcite | Level 5 LNL
Calcite | Level 5

Hi

I am running a logistic random effects model using GLIMMIX to predict the probability of death. I'm interested in variation between geographic areas. My first model is a "null" model with no fixed effects and a random intercept for geographic areas. The second model controls for age and sex by including those variables in the model.

model 1:

proc glimmix data=data;

class geo;

model death (event-last) = / solution dist=binary link=logit oddsratio;

random geo / solution;

run;

model 2:

proc glimmix data=data;

class geo;

model death (event-last)  = age female/ solution dist=binary link=logit oddsratio;

random geo / solution;

run;

I would like to get the probability of death in each geographic area relative to the average. The coefficients in the "solution for random effects" table are on the logit scale. How do i get the probability of each area being higher, lower than 1 for each model?

Thanks very much

LNL

1 REPLY 1
SteveDenham
Jade | Level 19

If there are not too many levels to geo, consider using ESTIMATE statements with the ILINK option.

Steve Denham

sas-innovate-2024.png

Join us for SAS Innovate April 16-19 at the Aria in Las Vegas. Bring the team and save big with our group pricing for a limited time only.

Pre-conference courses and tutorials are filling up fast and are always a sellout. Register today to reserve your seat.

 

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
  • 1 reply
  • 633 views
  • 0 likes
  • 2 in conversation