At 01:18 31/07/2012, Dushanthi Pinnaduwage wrote:
Thanks very much for the reply Michael.
I guess I have to combine some levels to make categorical variable
to a binary variable.
Without knowing more about your outcome variable (you have not even
told us yet whether it is ordered or not) it is a bit hard to offer
more advice. I would regard collapsing categories as a last resort
myself as you lose information.
Dushanthi
> Date: Sat, 28 Jul 2012 16:38:24 +0100
> To: dushan...@bell.net; r-help@r-project.org
> From: i...@aghmed.fsnet.co.uk
> Subject: RE: [R] "metafor" package, proportions: single groups
wrt to a categorical dependent variable
>
> 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: dushan...@bell.net; r-help@r-project.org
> > > From: i...@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
> > > i...@aghmed.fsnet.co.uk
> > > http://www.aghmed.fsnet.co.uk/home.html
> > >
>
> Michael Dewey
> i...@aghmed.fsnet.co.uk
> http://www.aghmed.fsnet.co.uk/home.html
>
Michael Dewey
i...@aghmed.fsnet.co.uk
http://www.aghmed.fsnet.co.uk/home.html
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