Clarification for Confounding and Effect Modification

user1359 — Thu, 01 Dec 2022 03:49:49 GMT

I'm not sure if this is how you analyze confounding with possible interaction (effect modification). The predictor is opioid usage while the outcome variable is prevalence of prior injection drug usage. I am creating my models through logistic regression

Only confounder in model was SES in model, possible effect modifier was ethnicity. This was the SAS code I used looking at confounding and possible effect modification.

proc logistic data=work.ex4;
class opioid_use SES eth_2 (ref= '3. Caucasian')/ param=ref;
model ever_inject = opioid_use SES eth_2;
run;

Based on multivariate logistic model, I don't have effect modification only confounding

topic Clarification for Confounding and Effect Modification in SAS Programming

Clarification for Confounding and Effect Modification