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Non-collapsible measures and log-likelihood/AIC

Hi everyone,

I'm doing a re-analysis of matched case-control data that involved large number of predictors for a relatively small sample size. In the original analysis, the final multivariable model was selected using forward stepwise selection and conditional logistic regression (evaluated 37 predictors with 73 matched pairs). Model selection was based on AIC, rather than the magnitude of the OR. Beyond the other (bigger) issues with forward stepwise selection, I'm wondering if non-collapsibility of the OR could have any bearing on log-likelihood and thus AIC?

Many thanks,

Julianne