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
[R-meta] Calculating odds ratios in bivariate meta-analysis.
5 messages · Olina Ngwenya, Wolfgang Viechtbauer
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
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
Hi Olina, escalc() is a function to compute various outcome measures / effect sizes. How these are used in further analyses is an entirely different issue. For example, in this example, a bivariate model is used with log odds as outcomes computed with escalc(): https://www.metafor-project.org/doku.php/analyses:vanhouwelingen2002 Best, Wolfgang
-----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
Thank you Wolfgang, well understood. Regards Olina -----Original Message----- From: Viechtbauer, Wolfgang (SP) <wolfgang.viechtbauer at maastrichtuniversity.nl> Sent: 21 March 2022 10:54 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. Hi Olina, escalc() is a function to compute various outcome measures / effect sizes. How these are used in further analyses is an entirely different issue. For example, in this example, a bivariate model is used with log odds as outcomes computed with escalc(): https://www.metafor-project.org/doku.php/analyses:vanhouwelingen2002 Best, Wolfgang
-----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