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st: AW: Predicted probabilities after Poisson regression


From   "Martin Weiss" <martin.weiss1@gmx.de>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: AW: Predicted probabilities after Poisson regression
Date   Tue, 6 Jul 2010 11:44:50 +0200

<> 

-h whatsnew- indicates that this -predict- option was added with the 11.1
update:


"update 03jun2010
----------------------------------------------------------------------------
------------------------------

    What's new in release 11.1 (compared with release 11.0) 
...

o  Probability predictions.  predict after count-data models, such as
poisson and nbreg, can now predict the probability
           of any count or any count range."




So the manual is not yet perfectly in tune with the developments for
-poisson-, I guess. Maybe the change is not significant enough to warrant a
new compilation of the whole manual.



HTH
Martin

-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von
Gillian.Frost@hsl.gov.uk
Gesendet: Dienstag, 6. Juli 2010 11:38
An: statalist@hsphsun2.harvard.edu
Betreff: st: Predicted probabilities after Poisson regression

Hello all,

Looking at the help file for Poisson postestimation, there is an option 
-pr(n)- or -pr(a,b)- for -predict-, which calculates unconditional 
probabilities.  However, when I look in the manual for more information 
there is no mention of this option.

I was hoping that someone would be able to help me find out more 
information about how predicted probabilities are estimated after Poisson 
regression.

Any help will be greatly appreciated.

Many thanks,

Gillian



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