Dear Statalisters,
I have estimated a competing risks model in discrete time, following the approach by Allison (82)/Jenkins(95), i.e. estimating a "multinomial logit" model applied to reorganised data. I would like to interpret some of the regressors in more detail. Does it make any sense to calculate predicted probabilities - for example for a reference person and for a person who differs in just one characteristic? Can I interpret these predicted probabilities in the same way as in a "normal" multinomial logit model?
I would be really glad for any help.....
Thanks in advance!
Katharina
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