Hi all,

I came across this wonderful post (https://hbiostat.org/r/examples/blrm/blrm#censored-data) by @f2harrell on how interval-censored data can be handled by the PO model.

However, I am still not quite sure if I understand the following scentence.

βIn full-likelihood models such as our extended PO model, censored data are easily handled. One just has to compute the contribution to the log-likelihood for each observation from the information it provides.β

I would like to ask if anyone can share your insight about how exactly Ocens (or blrm) handles the interval-centered data and how it contributes to the overall estimates

Many thanks,

DO