Rho YH wrote:
>If I make a logistic model 1) A = B C D E F G and another model
>2) A = B C D E F H I , which are not necessarily nested each other
>(but one has more variables than the other), are the results of
>LRTEST still relevant ?
>For example, if LRTEST 1) 2) is significant (p<0.05), then is model
>2) better explaining than model 1)?
>Do my ideas make sense?
If the models aren't nested you shouldn't do a chi-square contrast
between them. Consider using a BIC test instead, which you can get
by adding the stats option, e.g.