Are there any implemented methods in R that could be used to assess publication bias in a meta-analysis of diagnostic accuracy (Egger's test, funnel plots)? One way would be to change sensitivites and specifities to log diagnostic odds ratios (logDOR), run meta-analysis on the logDOR using common rfx-models and then e.g. use funnel() and regtest() from the metafor package. However as I understand the bivariate approach (Reitsma et al., 2005) is to be prefered. But if a run a bivariate linear model, how can I assess publication bias?
library(mada) data(Dementia) (fit <- reitsma(Dementia)) summary(fit)