I'm conducting a meta-analysis concerning prediction studies that report AUC's with CI's. I'd like to create a forest plot that pools the AUC's together. I have
I draw a forest plot with non-default annosym values: res <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg, measure = 'OR', method='DL', slab=p
I am performing a meta-analysis of proportions using metaprop function. I am looking at the prevalence of heart fibrosis in people living with HIV. #mri$lgehivn