I have a rather small dataset of clinical variables and survival times. I've tried running linear regression on these in a cross-validated fashion. I note that in some cases, the regression will give a negative prediction. As these are survival times, this is nonsense.
I am wondering if there is a generally accepted fix for this type of situation (set negative predictions to zero?)
I had considered using a categorical predictor of some kind, but my dataset is too small to populate a meaningful number of categories.
Thanks for any pointers or suggestions.