[R-meta] How to interpret the result of metabias function of the R package meta?

Safa Aouinti @@|@@@ou|nt| @end|ng |rom y@hoo@|r
Tue Mar 2 16:00:24 CET 2021

Dear All 

I am learning how to make a meta analysis of binary outcome data. So I chose the Fleiss93 dataset available in the meta package. This is my code:

MA <- metabin(event.e, n.e, event.c, n.c, data=Fleiss93, studlab=paste(study, year), method = "Inverse",sm="OR")
funnel(MA, studlab = TRUE)
metabias(res, method="linreg",k.min=7)

The funnel plot looks like asymmetric but when I use the function metabias to test this asymmetry I found a p-value=0.399 > 5% indicating that the hypothesis H0 should be accepted 'the funnel plot is symmetric' ???

For me the result is contradictory to what I expect. I misinterpreted the result or I did not choose the correct method to put in metabias function ??

Thank you in advance for your help/ explanations !

Best regards.

Safa Aouinti
Ph.D. in applied Mathematics and Statistics

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