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st: Recreating Confidence Intervals after Poisson Regression


From   Garret Christensen <garretchristensen@yahoo.com>
To   Stata List <statalist@hsphsun2.harvard.edu>
Subject   st: Recreating Confidence Intervals after Poisson Regression
Date   Fri, 12 Jul 2013 20:44:10 -0700 (PDT)

Thanks Maarten and Richard for the suggestions. I had seen the Stata delta-rule FAQ page, but the delta rule math has always been a challenge for me. I don't quite get the "g()" function in the FAQ or the exponentiation in Maarten's Tip #3, but in my case at least, 
_b[treatment] - invnormal(0.025)*_se[treatment]
and 
_b[treatment] + invnormal(0.025)*_se[treatment]
serve to reproduce the CIs output by the Poisson regression itself.

Thanks,
Garret

>>On Thu, Jul 11, 2013 at 1:35 AM, Garret Christensen wrote:
>> I'm interested in working with (read: using as scalars) the confidence intervals created by a Poisson regression.
>>
>> If I were doing a linear regression, I'd just do what they say here
>> http://www.maartenbuis.nl/publications/p-value.pdf, which is:
>
>I have submitted a new Stata tip that, as an aside, also covers that:
>http://www.maartenbuis.nl/wp/p_value_3.html . It is an aside in that
>tip because it is already discused in the Stata FAQ that Richard
>pointed to : http://www.stata.com/support/faqs/statistics/delta-rule/
>
>The complete reference to the article you are referring to is:
>M.L. Buis (2007), "Stata tip 54: Where did my p-values go?", The Stata
>Journal, 7(4), pp.584-586.
>
>The best place to download it is:
>http://www.stata-journal.com/article.html?article=st0137
>
>- -- Maarten
>
>- ---------------------------------
>Maarten L. Buis
>WZB
>Reichpietschufer 50
>10785 Berlin
>Germany
>
>http://www.maartenbuis.nl
>
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