Often times applied researchers use nonlinear transformations on variables that are not normally distributed prior to modeling. I would like to show that other techniques result in superior models, but comparative model fit statistics such as AIC and BIC cannot be used with a nonlinear transformation (Burnham & Anderson, 2002). Are there other statistical methods for comparing models?