Hello,

I’m new to probabilistic programming and survival analysis. I’m trying to build a survival model, assuming that assets have an expected time-to-failure that follows a Weibull distribution. I can’t seem to figure out how to add censoring to my model. I’ve tried following weibull_aft notebook but haven’t had any luck in PyMC v4 (PyMC v4.1.4)

My question:

How can I censor different age assets that have yet to fail by the censor date?

Context:

- My assets have different start-up dates therefore they are different ages at the time of analysis. This scenario seems to be a special case of random censorship with random entry.
- I’ve reviewed Censored Data Models Notebook and Censored data regression notebook it would seem that the pymc.Censored only supports left censor, right censor and interval censor.