Cure model is a kind of survival analysis model. It assume some observations are "statistical cure", who are not able to experience the endpoint event of interest. I don't know if this type of analysis is supported by standard SAS procedures. Thank you.
This project might be of interest:
GitHub - zjph602xtc/mixture-cure-model: This is a fork of Pierre JOLY's mixture cure model SAS macro...
It contains thorough documentation so you can evaluate.
Cure rate models can be done in SAS in the context of the fitting a Gompertz Distribution. The usage note linked below describes some of the options as far as fitting these models in SAS is concerned.
24452 - Using the Gompertz distribution when fitting a model in PROC LIFEREG
@ChrislHemedinger and @SAS_Rob Hey, guys
Thanks a bunch for your response. I know there are some MACRO but I am not sure if the follow the maximum likelihood method for the cure model.
I read from a book that the likelihood function of a cure model include a mixture of a logistic and a Cox model. I really wish the SAS can have a procedure to handle this type of survival analysis because I see its academic potential in evidence-based medicine, especially cancer, etc.
The likelihood function is below and it simply follows the partial likelihood function of a regular survival analysis model.
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