[R-meta] How to interpret the result of metabias function of the R package meta?
@@|@@@ou|nt| @end|ng |rom y@hoo@|r
Tue Mar 2 16:00:24 CET 2021
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)
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 !
Ph.D. in applied Mathematics and Statistics
More information about the R-sig-meta-analysis