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Re: st: Predicted probabilities in a competing risks model in discrete time?
From |
Steven Samuels <[email protected]> |
To |
[email protected] |
Subject |
Re: st: Predicted probabilities in a competing risks model in discrete time? |
Date |
Tue, 5 Aug 2008 21:25:05 -0400 |
Katharina-
When you give vague references, you effectively ask that we spend
time figuring out exactly what the references are. If the documents
are long, you are also asking us to search them for the pages that
pertain to your topic. I find this inconsiderate. It is also self-
defeating, because it discourages responses. Please provide precise
references, with page or section numbers, as requested in the
Statalist FAQ, Section 3.4: http://www.stata.com/support/faqs/res/
statalist.html#advice.
-Steve
On Aug 4, 2008, at 11:51 PM, [email protected] wrote:
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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