Message-ID: <LO2P265MB365912BC20595645BBA64385DC169@LO2P265MB3659.GBRP265.PROD.OUTLOOK.COM>
Date: 2022-03-21T10:13:47Z
From: Olina Ngwenya
Subject: [R-meta] Calculating odds ratios in bivariate meta-analysis.
In-Reply-To: <alpine.DEB.2.22.394.2203202334030.1831232@wv-x5>
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