Dear mailing list members,
I performed a meta-analysis of proportions.
To examine the potential impact of moderator variables on study effect size,
I performed a meta-regression using several candidate variables.
A referee states:
"Meta-regression needs that all GLM (general linear model) assumptions are
respected. Are you able to prove them? Otherwise, you should remove all
these analyses."
I read this very useful and clear document (Modeling Non-Linear Associations
in Meta-Regression -
https://www.metafor-project.org/doku.php/tips:non_linear_meta_regression).
I ask:
beside visual inspection of plots, there are formal tests to evaluate if the
GLM assumption are respected in the context of meta-regression or the
approach for linear regression diagnostics is the same as for linear
regression out of context of meta-analysis and meta-regression?
Thanks for your time and attention
Mario Petretta
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Mario Petretta, MD, FAHA
Associate Professor of Internal Medicine Department of Translational Medical
Sciences Naples University "Federico II" - Italy
IRCCS SDN, Naples. Italy
petretta at unina.it