Cure Model for Prediction of Testdata with unknown Cure-Rate Distribution #1293
Description
i am currently trying to come up with a model for my company to predict survival curves for customer vouchers to be discharged over a given periode of time after being sold. Tough, as there is an empirical chance that vouchers can expire rather than being discharged, the Cure Model that you suggest seems quite interesting to me!
Since a voucher, that has been expired, has a 0% chance to be discharged afterwards, in my thinking, it comes pretty close to the idea of being "cured".
Problem now is, that i also need to predict for active customer vouchers, where, just like my target variable (Discharge at T(x)), i still lack of information about the expiration event taking place or not, as these vouchers maybe have just been sold and therefore are only at the beginnen of their "survival" journey.
Did you ever come across similar problems and have some advice, how i could deal with that? :)
Thanks alot and greetings
Andreas