-help@r-project.org
Subject: RE: [R] metafor and meta-analysis at arm-level
Hello Wolfgang.
I'd appreciate if you could help me check whether I am doing the
proper thing to do an arm-level meta-analysis with metafor and what
differences there might be in trying to do the same with lme and lm.
I
] metafor and meta-analysis at arm-level
Hello Wolfgang.
I'd appreciate if you could help me check whether I am doing the proper
thing to do an arm-level meta-analysis with metafor and what differences
there might be in trying to do the same with lme and lm.
I am following the arm based model
: 'Angelo Franchini'; r-help@r-project.org
Subject: RE: [R] metafor and meta-analysis at arm-level
Hello Wolfgang.
I'd appreciate if you could help me check whether I am doing the proper
thing to do an arm-level meta-analysis with metafor and what differences
there might be in trying to do
-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Angelo Franchini
Sent: Tuesday, July 06, 2010 10:37 To: Wolfgang Viechtbauer
Cc: r-help@r-project.org; Angelo Franchini
Subject: Re: [R] metafor and meta-analysis at arm-level
Hello Wolfgang,
Thank you very much for your
To: Wolfgang Viechtbauer
Cc: r-help@r-project.org; Angelo Franchini
Subject: Re: [R] metafor and meta-analysis at arm-level
Hello Wolfgang,
Thank you very much for your response.
When you mentionthe appropriate design matrix, do you mean by that
the 'n1i, n2i, m1i, m2i, sd1i, sd2i' arguments
Hello Wolfgang,
Thank you very much for your response.
When you mentionthe appropriate design matrix, do you mean by that the
'n1i, n2i, m1i, m2i, sd1i, sd2i' arguments of the rma function, or am I
missing something?
I read the documentation on metafor (introduction), rma/rma.uni and
escalc, and
Hello Angelo,
You can either supply the arm-level outcomes and corresponding sampling
variances directly (via the yi and vi arguments) or supply the necessary
information so that the escalc() or rma() functions can calculate an
appropriate arm-level outcome (such as the log odds). See the
Hi,
I have been looking for an R package which allowed to do meta-analysis
(both pairwise and network/mixed-treatment) at arm-level rather than at
trial-level, the latter being the common way in which meta-analysis is
done.
By arm-level meta-analysis I mean one that accounts for data provided at
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