Ricardo -
A common assumption in meta-analysis of RR's is that log(RR) is
approximately normally distributed (how good that assumption is never stated
though). I would presume that the SE you have is, in fact, for log(RR),
thus you have everything you need for a Z-test.
Tom
----- Original Message -----
From: "Ricardo Ovaldia" <[email protected]>
To: <[email protected]>
Sent: Thursday, March 11, 2004 7:48 PM
Subject: Re: st: differences in relative risks
> Thank you Philip. Unfortunately all I have is the RR
> and the corresponding SE. I was thinking that some
> method out of the Meta-analysis literature could be
> used.
>
> --Ricardo.
>
> --- Philip Ryan <[email protected]> wrote:
> > One way might be to write out two separate models
> > (eg logistic or
> > log-binomial, depending on your research design) and
> > then use -suest- to
> > test for equality of the coefficients of the
> > suitably parameterised
> > exposures. For example, as a very general case
> > where both the exposures
> > and the outcomes are different (and the sense is
> > rather open to question!)
> >
> > is the RR for lung cancer among smokers (vs
> > non-smokers) different from the
> > RR of heart disease among males (vs females):
> >
> > glm lung smoker, link(log) fam(binomial) score(s1)
> > est store A
> > glm heart sex, link(log) fam(binomial) score(s2)
> > est store B
> > suest A B
> > test [A_lung]smoker = [B_heart]sex
> >
> >
> >
> > Phil
> >
> >
> >
> > At 09:56 AM 11/03/2004 -0800, you wrote:
> > >Dear all,
> > >
> > >Is there a way in Stata to compare if two relative
> > >risks are equal, or alternatively if the ratio of
> > two
> > >relative risks (RRR) is equal to one?
> > >
> > >Thank you in advance,
> > >Ricardo.
> > >
> > >__________________________________
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> >
> > Philip Ryan
> > Associate Professor,
> > Department of Public Health
> > Associate Dean (Information Technology)
> > Faculty of Health Sciences
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> >
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>
> =====
> Ricardo Ovaldia, MS
> Statistician
> Oklahoma City, OK
>
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