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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 * * 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/

**Follow-Ups**:**Re: st: R: Extrapolated inferences and confidence intervals***From:*Fred Wolfe <fwolfe@arthritis-research.org>

**References**:**st: Extrapolated inferences and confidence intervals***From:*Fred Wolfe <fwolfe@arthritis-research.org>

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