Dear Fred,
you're more than welcome!
Kind Regards,
Carlo
-----Messaggio originale-----
Da: [email protected]
[mailto:[email protected]] Per conto di Fred Wolfe
Inviato: giovedì 25 giugno 2009 12.20
A: [email protected]
Oggetto: Re: st: R: Extrapolated inferences and confidence intervals
Thanks Carlo, Maarten, and Stas,
I'll try the analyses with the suggested methods.
Fred
On Wed, Jun 24, 2009 at 11:16 AM, Carlo Lazzaro
<[email protected]> wrote:
>
> 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: [email protected]
> [mailto:[email protected]] Per conto di Fred Wolfe
> Inviato: mercoledì 24 giugno 2009 16.52
> A: [email protected]
> 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
> [email protected]
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
>
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
--
Fred Wolfe
National Data Bank for Rheumatic Diseases
Wichita, Kansas
NDB Office +1 316 263 2125 Ext 0
Research Office +1 316 686 9195
[email protected]
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
