How affects Multicollinearity to likelihood function in logistic regression


I'm trying to select the best covariates in a logistic regression model by a forward stepwise method based on conditional likelihood ratio test. Everybody know that multicollinearity affects the parameters estimation but, does anybody know how multicollinearity affects the likelihood function and the selection method?