BookmarkSubscribeRSS Feed
SudeepNeupane
Calcite | Level 5

What proc should I use for a binary categorical outcome with all categorical predictors collected ten times?

 

I figured we could get outputs using any SEM procs; however, I am scared I would violate the statistical assumptions.

4 REPLIES 4
ballardw
Super User

What is/are the research question(s) asked about the data?

 

There are multiple procedures but without knowing what kind of question needs to be answered it is hard to make a suggestion.

 

When you say "collected ten times" are the "times" independent of each other or related?

SudeepNeupane
Calcite | Level 5
The data looks at the development of a disorder (binary outcome variable) over time mediated by some socio-ecological factors.

I meant to say we have the data of the same sample collected at ten different time points. Times are independent of each other.
PaigeMiller
Diamond | Level 26

I don't see where you answered this question:

 

What is/are the research question(s) asked about the data?

--
Paige Miller
SteveDenham
Jade | Level 19

If you want marginal estimates, try PROC GENMOD.  If you want conditional estimates, try PROC GLIMMIX.  If you know the structural equations/path model, try PROC CALIS.  All of these handle repeated measures of a binary response.  Selecting which to use depends very much on what @ballardw  and @PaigeMiller  are asking for - a concise, but complete, statement of the research question.

 

SteveDenham

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
  • 4 replies
  • 1159 views
  • 1 like
  • 4 in conversation