How do you include control/confounders in SAS using PROC CALIS?

[rchinsee]

I'm trying to get the gist of modelling here using path analysis but I don't see syntax that allows me to include potential confounders in the model. Does this need to be built directly into the path statements? 

[sbxkoenk]

I don't know PROC CALIS well enough to provide you with a good answer.

Maybe @CatTruxillo can help you if you insist on using PROC CALIS.

I'm just replying to tell you about other SAS/STAT procedures for Causal Inference.

( taken from Usage Note 30333: FASTats: Frequently Asked-For Statistics

https://support.sas.com/kb/30/333.html )

Causal analysis

• Beginning in SAS 9.4M4, SAS/STAT PROC CAUSALTRT estimates the average causal effect of a binary treatment variable on a continuous or discrete outcome. It can adjust for confounding by modeling the treatment assignment or the outcome or both.
• Beginning in SAS^® 9.4M5 (TS1M5), SAS/STAT PROC CAUSALMED estimates causal mediation effects from observational data.
• Beginning in SAS Studio 3.6, the Causal Models task. 
• Beginning in SAS Viya 2023.09, PROC CAEFFECT implements model-agnostic estimation methods to adjust for confounding variables when studying the causal effect of a treatment variable on an outcome.

BR, Koen