Dear R-sig-meta-analysts I have been doing bivariate meta-analysis using rma.mv(), but one of my outcomes has missing values and I am getting this message "Rows with NAs omitted from model fitting". My question is "Do we have other ways of dealing with missing data in meta-analysis instead of discarding rows with missing values". Thank you Olina Ngwenya Research Assistant Centre for Biostatistics | School of Health Sciences | Faculty of Biology, Medicine and Health | University of Manchester
[R-meta] Dealing with missing data in bivariate analysis
3 messages · Olina Ngwenya, Wolfgang Viechtbauer
Dear Olina, Depends a bit on what is missing. If values of predictor/moderator variables are missing, then one possibility is to use some kind of imputation technique. See, for example: https://www.metafor-project.org/doku.php/tips:multiple_imputation_with_mice_and_metafor Best, Wolfgang
-----Original Message----- From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces at r-project.org] On Behalf Of Olina Ngwenya Sent: Monday, 28 March, 2022 11:29 To: r-sig-meta-analysis at r-project.org Subject: [R-meta] Dealing with missing data in bivariate analysis Dear R-sig-meta-analysts I have been doing bivariate meta-analysis using rma.mv(), but one of my outcomes has missing values and I am getting this message "Rows with NAs omitted from model fitting". My question is "Do we have other ways of dealing with missing data in meta-analysis instead of discarding rows with missing values". Thank you Olina Ngwenya Research Assistant Centre for Biostatistics | School of Health Sciences | Faculty of Biology, Medicine and Health | University of Manchester
Thank you Wolfgang. Regards Olina -----Original Message----- From: Viechtbauer, Wolfgang (SP) <wolfgang.viechtbauer at maastrichtuniversity.nl> Sent: 28 March 2022 11:06 To: Olina Ngwenya <olina.ngwenya at manchester.ac.uk>; r-sig-meta-analysis at r-project.org Subject: RE: Dealing with missing data in bivariate analysis Dear Olina, Depends a bit on what is missing. If values of predictor/moderator variables are missing, then one possibility is to use some kind of imputation technique. See, for example: https://www.metafor-project.org/doku.php/tips:multiple_imputation_with_mice_and_metafor Best, Wolfgang
-----Original Message----- From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces at r-project.org] On Behalf Of Olina Ngwenya Sent: Monday, 28 March, 2022 11:29 To: r-sig-meta-analysis at r-project.org Subject: [R-meta] Dealing with missing data in bivariate analysis Dear R-sig-meta-analysts I have been doing bivariate meta-analysis using rma.mv(), but one of my outcomes has missing values and I am getting this message "Rows with NAs omitted from model fitting". My question is "Do we have other ways of dealing with missing data in meta-analysis instead of discarding rows with missing values". Thank you Olina Ngwenya Research Assistant Centre for Biostatistics | School of Health Sciences | Faculty of Biology, Medicine and Health | University of Manchester