Just to add a note to Rich Ulrich's answer, you won't find a lot of this in
a usual stats textbook I don't think. There are plenty of papers written on
bio-equivalence...Statistics in Medicine in particular has several
articles. For most bio-equivalence studies, you have a standard and test
treatment and you want to compare the test to the standard...is the test
treatment as good as the standard.
Usually, there is some criteria you have in mind (maybe the test treatment
is within 5% or 10% of the standard treatment). This isn't a statistical
issue...how close is close enough is a matter for subject specialists.
Also, if I remember correctly you want to use 2 alpha instead of alpha for
constructing the CI.
Warren.
Rich Ulrich wrote:
> (posted to sci.stat.consult,sci.stat.edu, where version of the same
> post by Wang appeared.)
>
> On Tue, 28 Mar 2000 15:51:47 +0800, Ng Tsz Wang <[EMAIL PROTECTED]>
> wrote:
>
> > Hi all,
> >
> > Thank you very much for your response. :)
> >
> > I got help from someone that the test I want to carry out is called:
> > Bioequivalence/equivalence test. I have searched my university's
> > libraray and there is not much info on this.
> >
> > Maybe I can show you my problem and you can tell me how to carry out a
> > test on such nature.
>
> For the details, please notice that I gave it, sufficiently I hope, in
> my original answer. For any real data, compute the CI of the
> difference. If your sample is huge, and the difference is small, you
> might be able to conclude that the 95% CI of the difference is less
> than XXX, for your small XXX.
>
> If you need help in computing a Confidence Interval, please hire a
> consultant.
>
> --
> Rich Ulrich, [EMAIL PROTECTED]
> http://www.pitt.edu/~wpilib/index.html
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