I am so happy to find this list group and hope to get help here.

I am doing survival analysis using PROC GENMOD with complementary log-log link function.The best model was selected according to the smallest QAIC or QAICC, calculated based on the log likelihood.The number of candidate models is up to 480. The problems I have:

1. pscale or dscale?? It is stated in SAS online help V8 that scaled deviance or pearson chi- square indicates the goodness-of-fit; however, in some of my models, the two indicators go different directions (one >1 and the other <1). Occordingly, the selected models are quite different if I specify pscale vs. dscale in the model statement. Any comments for this behavior?

2. log-likelihood, need corrected or not when calculate QAIC? SAS corrected the log-likelihood (llh) based on the scale parameter. When calculate QAIC=-2*llh/c +2*k, is it right to back-caculate the "correct" loglikelyhood value, which is the SAS llh times the square of scale parameter?

Thanks,

Dali Fu