Comparing model fit of two Accelerated failure time (AFT) models in R

40 Views Asked by At

I use the flexsurvreg package/function to create a series of survival models (AFT Weibull). How can I compare the model fit of those models and, for example, suggest that a model is better than the control model?

I have tried several appraoches, such as anova or likelihood ratio tests (lrtest or lrt.df). However, I could not find any functions that can compare flexsurvreg models.

Alternatively, is there a way to transform the flexsurvreg objects to survreg or flexsurvmodel to make some of these functions work?

Any help is appreciated.

Thanks!

0

There are 0 best solutions below