[R] "metafor" package, proportions: single groups wrt to a categorical dependent variable

[Michael Dewey]

At 15:47 28/07/2012, Dushanthi Pinnaduwage wrote:
>
>Dear Michael,
>
>Thanks very much for your quick response.
>
>My outcome is not binary. Outcome has more than 2 values (levels) 
>and I have counts for the levels.
>I have not written a code yet.

Well as the name of the key function in metafor (rma.uni) suggests 
metafor at present does univariate meta-analysis. If you can reduce 
the outcome to a single measure of effect (perhaps using proportional 
odds or continuation ratio) then you can enter that with its standard 
error using the yi and sei parameters to rma.uni. If the nature of 
your outcome does not allow that then you have a multivariate 
meta-analysis. In that case you could try mvmeta (available from CRAN)

>
>I would like to know if escalc() can handle categorical outcome data 
>(more than 2 proportions). If so, how can I input
>the counts of each level of the categorical outcome to this function.
>
>Hope it is little clear now.
>
>Dushanthi
>
>
>
>You do not give us very much to go on here. When you say your outcome
> >is proportions do you mean your outcome has more than two values and
> > you are generating (or have been provided with) several proportions
> > for each study or do you mean it is a binary variable? If the latter
> > do you in fact have the numerators and denominators or just the
> > proportion? It would also help if you showed us the code you have
> > tried and the error message you got (if any) or told us the
> > discrepancy between the output you obtained and that which you expected.
>
>
>
> > Date: Sat, 28 Jul 2012 14:25:08 +0100
> > To: dushanthi at bell.net; r-help at r-project.org
> > From: info at aghmed.fsnet.co.uk
> > Subject: Re: [R] "metafor" package, proportions: single groups 
> wrt to a categorical dependent variable
> >
> > At 01:44 28/07/2012, Dushanthi Pinnaduwage wrote:
> >
> >
> >
> >
> > >Dear all, I am using R version 2.15.0 and 'metafor' package version
> > >1.6-0. Can this version of the package handle proportions from
> > >a categorical dependent variable for single studies?If so how do I
> > >set up my dataframe for the raw data from different studies? Also
> > >how do I give inputs, specially xi, mi (or ni) to the function
> > >escalc()? Thanks,Dushanthi
> >
> > You do not give us very much to go on here. When you say your outcome
> > is proportions do you mean your outcome has more than two values and
> > you are generating (or have been provided with) several proportions
> > for each study or do you mean it is a binary variable? If the latter
> > do you in fact have the numerators and denominators or just the
> > proportion? It would also help if you showed us the code you have
> > tried and the error message you got (if any) or told us the
> > discrepancy between the output you obtained and that which you expected.
> >
> > >
> > > [[alternative HTML version deleted]]
> >
> > Michael Dewey
> > info at aghmed.fsnet.co.uk
> > http://www.aghmed.fsnet.co.uk/home.html
> >

Michael Dewey
info at aghmed.fsnet.co.uk
http://www.aghmed.fsnet.co.uk/home.html