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.

sas-innovate-2026-white.png



April 27 – 30 | Gaylord Texan | Grapevine, Texas

Registration is open

Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and lock in 2025 pricing—just $495!

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
  • 1 reply
  • 983 views
  • 1 like
  • 2 in conversation