I am conducting a meta-analysis of sensitivities and tried using the metaprop()argument in the meta package to pool single proportions. Using the logit-link function, the argument will by default choose a GLMM. However there are no weights provided. Event hough this is the best solution according to literature, the studies which i want to pool vary greatly in samplesize (n=6 to n=568). I think the weighting might be essential in this case and wondered if there is a solution which also offers weights? In short, i want pooled, weighted subgroub summary estimates which i can show in a forest plot.
my dataset is based on 2x2 table data (true positive, false negative, true negative, false positive), with a proportional outcome (sensitivity or specificity [%]) and the subgroup "exp"(invitro/bacterial)
metaprop(E6sens$TP, E6sens$TP + E6sens$FN, comb.fixed=FALSE, comb.random=TRUE,
sm="PLOGIT", method.ci="CP", studlab=E6sens$title, byvar=E6sens$exp)
I would be grateful for any suggestions
regards, Julia