scikit-survival icon indicating copy to clipboard operation
scikit-survival copied to clipboard

Adding AIC/BIC information

Open matzhaugen opened this issue 2 years ago • 1 comments

Is your feature request related to a problem? Please describe. I'm not sure if this is 100% relevant to penalized cox regressions, but would it be useful to ad AIC and BIC metrics if cross-validation is inappropriate, e.g. due to data sparsity or for the reason of replicating other work? In the same vein, a forward and backward selection method could also be employed (but that would probably go in another feature request).

Describe the solution you'd like Add an AIC and BIC metric to the existing set of metrics.

Describe alternatives you've considered As an alternative one could also compute the AIC/BIC oneself outside out this codebase.

References and existing implementations An existing implementation of this can be found in the sciki learn package here

One reference paper that employs this with backward selection is here https://doi.org/10.1016/j.jtcvs.2017.11.095

Again, not sure if the other criteria already implemented are perhaps more appropriate. If so, let me know.

matzhaugen avatar Jan 31 '23 10:01 matzhaugen