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This is not intentional - but is not a scenario I am explicitly testing for. I will add this. Thanks for the head's up.
One question - did you transform your data using prep_data_long_surv or are your data already in start-stop / long / denormalized format? This will help me narrow down the possible locations of the problem.
Great, so that helps a lot. This is still an issue I'll want to catch & fix, but to start with you should first transform your data to "long" format in order to fit the PEM model.
Following the PEM example with my own data, I got unreasonable results using
survivalstan.utils.plot_observed_survival
.After casting my time column to float (was int before) and the event column to boolean (was 0/1 before), everything worked.
Is this intentional?
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