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[R-meta] Bivariate generalized linear mixed model with {metafor}

Wolfgang Viechtbauer 
Dear Arthur,

rma() does not fit generalized linear mixed models -- rma.glmm() does. I don't have the time right now to dig into those papers to figure out what specific model they are suggesting. In this context, many different models have been suggested; see, for example:

Jackson, D., Law, M., Stijnen, T., Viechtbauer, W., & White, I. R. (2018). A comparison of seven random-effects models for meta-analyses that estimate the summary odds ratio. Statistics in Medicine, 37(7), 1059-1085. https://doi.org/10.1002/sim.7588

(and this is not even an exhaustive list). The paper also indicates how these models can be fitted, either with metafor::rma.glmm() or one can do this directly with lme4""glmer().

Best,
Wolfgang

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Arthur Albuquerque Bivariate generalized linear mixed model with {metafor} Oct 18 Wolfgang Viechtbauer Bivariate generalized linear mixed model with {metafor} Oct 18 Arthur Albuquerque Bivariate generalized linear mixed model with {metafor} Oct 18 Michael Dewey Bivariate generalized linear mixed model with {metafor} Oct 18 Arthur Albuquerque Bivariate generalized linear mixed model with {metafor} Oct 18 Wolfgang Viechtbauer Bivariate generalized linear mixed model with {metafor} Oct 18