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st: R: Extrapolated inferences and confidence intervals


From   "Carlo Lazzaro" <carlo.lazzaro@tiscalinet.it>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: R: Extrapolated inferences and confidence intervals
Date   Wed, 24 Jun 2009 18:16:23 +0200

Dear Fred,
Scanning Little RJA, Rubin DB. Statistical analysis with missing data.
Second edition. Chichester: Wiley, 2002, I have found out one chapter only
covering dichotomous data (pages 266-291): The reported examples are not
related to epidemiology and are dealth with using Bayesian or ML approaches.
 
This is probably a trivial solution to your problem: assuming you are
dealing with MCAR mechanism, can't you simply bootstrap the existing
observation and calculate the prevalence 95% CI?

Kind Regards,
Carlo

-----Messaggio originale-----
Da: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Fred Wolfe
Inviato: mercoledì 24 giugno 2009 16.52
A: statalist@hsphsun2.harvard.edu
Oggetto: st: Extrapolated inferences and confidence intervals

I wonder if anyone on the Stata list may be able to suggest a method
to solve this problem using Stata.

I am trying do determine the prevalence and confidence intervals of a
side effect to a treatment. Several thousand treated subjects have
taken a drug. They are asked if they had a specific side effect to the
drug. Those that say no are classified as being side effect negative.
Those that say yes are contacted to obtain the name of their
physician, and the physician is asked to verify the side effect. Only
about one third of physicians can be contacted, and from them we can
get the proportion positive and negative for the side effect. Assume
that the non-responses are unrelated to the outcome. I can extrapolate
from the responding physicians to the non-responding physicians and
calculate an overall prevalence of the side effect. What I would like
to do is to obtain confidence intervals for this prevalence estimate,
but I do not see an easy way to do this in Stata. I wonder if anyone
might suggest a solution.

Thanks,

Fred

--
Fred Wolfe
National Data Bank for Rheumatic Diseases
Wichita, Kansas
NDB Office  +1 316 263 2125 Ext 0
Research Office +1 316 686 9195
fwolfe@arthritis-research.org

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