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st: logistic regression adjusted for imperfect sensitivity and specificity, using svy


From   Sarah Woodhall <Sarah.Woodhall@phe.gov.uk>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: logistic regression adjusted for imperfect sensitivity and specificity, using svy
Date   Mon, 7 Oct 2013 13:54:27 +0000

I am trying to compare the prevalence of an infection from
two different years, when different assays were used in each year. The
prevalence was measured as part of a survey with complex sampling design, with
poststratification weights applied.

The –logitem- command seems appropriate for this, except it can't be combined
with the svy command.

Is there a way of
a) incorporating imperfect sensitivity and specificity into logistic regression where svy is also used?
b) calculating adjusted confidence intervals for prevalence estimates calculated from datasets where the svy command is used (not just the point prevalence, which I think I can do by applying the formula from Rogan
& Gladen, Am. J. Epidemiol. (1978) 107 (1): 71-76)

Thanks,
Sarah Woodhall


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