Re: [R] coxme AIC score and p-value mismatch??

I think I've figured it out, the AIC column is the IMPROVEMENT in AIC compared to the null model. So bigger values are better. -- View this message in context: http://r.789695.n4.nabble.com/coxme-AIC-score-and-p-value-mismatch-tp2333980p2550409.html Sent from the R help mailing list archive at N

Re: [R] coxme AIC score and p-value mismatch??

The AICs do not seem right to me either. Unless I am missing something, it appears that the formula: AIC= -2x logLik -2k is being applied, rather than: AIC= -2x logLik +2k Meaning models with fewer degrees of freedom are being penalised. So in your example I make the degrees of freedom 9.61 +2