Hi All,

I am trying to model a set of data that's a little bit complicated. Let's
say a person can live 365 more days from time t=0. I have data on 100
people, but I only know who died between day 0 and day 30. Everyone else
would've died between days 31 and day 365.

Is there any way to fit a distribution to this set of data? I would try
'fitdist', but that would just get me parameters that would give me a mean
somewhere between 0 and 30, which is not accurate. Is there any way? Would
it help if I had the model parameters for a complete set of data from a few
years ago?

Any help would be great!

Thanks,
Tim

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