-----Original Message-----
From: Olina Ngwenya [mailto:olina.ngwenya at manchester.ac.uk]
Sent: Monday, 21 March, 2022 11:14
To: Viechtbauer, Wolfgang (SP)
Cc: r-sig-meta-analysis at r-project.org
Subject: RE: [R-meta] Calculating odds ratios in bivariate meta-analysis.
Dear Wolfgang
Thank you for your response. I felt like the escalc() with measure ="OR" , is
used for univariate meta-analysis and I thought there is another function used to
calculate odds ratios in bivariate/multivariate meta-analysis.
Regards
Olina
-----Original Message-----
From: Wolfgang Viechtbauer <wolfgang.viechtbauer at maastrichtuniversity.nl>
Sent: 20 March 2022 22:36
To: Olina Ngwenya <olina.ngwenya at manchester.ac.uk>
Cc: r-sig-meta-analysis at r-project.org
Subject: Re: [R-meta] Calculating odds ratios in bivariate meta-analysis.
Dear Olina,
Not sure where exactly the problem is, but escalc() with measure="OR"
computes log odds ratios and measure="PLO" computes log odds.
Best,
Wolfgang
Hello R-sig-meta-analysis folks,
I am doing a random effects multivariate model (bivariate) for binary
outcomes, pregnancy and live birth (similar to this analysis:
https://www.metafor-project.org/doku.php/analyses:berkey1998, the
difference is that berkey1998 outcomes are continuous). Now for
bivariate analysis of binary outcomes, I want odds ratios and have not
found the way of getting log odds and odds ratio like in the
univariate analysis (for example the output for rma.peto).
Thank you
Regards
Olina Ngwenya Research Assistant Centre for Biostatistics | School of
Health Sciences | Faculty of Biology, Medicine and Health | University
of Manchester