BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
Job04
Quartz | Level 8

I have longitudinal data with continuous outcome and missing values and I want to fit marginal model. Can weighted GEE be fitted in this type of data as primary analysis?

 

Thank you

1 ACCEPTED SOLUTION

Accepted Solutions
SAS_Rob
SAS Employee

If you have missing data that is generated as a result of dropouts then you can use Proc GEE with the MISSMODEL statement to apply the weighted GEE model.  I would suggest taking a look at the GEE documentation for the details and syntax.

View solution in original post

1 REPLY 1
SAS_Rob
SAS Employee

If you have missing data that is generated as a result of dropouts then you can use Proc GEE with the MISSMODEL statement to apply the weighted GEE model.  I would suggest taking a look at the GEE documentation for the details and syntax.

hackathon24-white-horiz.png

The 2025 SAS Hackathon Kicks Off on June 11!

Watch the live Hackathon Kickoff to get all the essential information about the SAS Hackathon—including how to join, how to participate, and expert tips for success.

YouTube LinkedIn

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
  • 848 views
  • 1 like
  • 2 in conversation