We may be interested in adding the E-value to the section on bias. The E-value is a measure of how strong unmeasured confounding would have to be to explain away results. It has an implementation for meta-analyses, as well as an R package: https://github.com/mayamathur/evalue/tree/master/EValue
We may be interested in adding the E-value to the section on bias. The E-value is a measure of how strong unmeasured confounding would have to be to explain away results. It has an implementation for meta-analyses, as well as an R package: https://github.com/mayamathur/evalue/tree/master/EValue
cc: @mayamathur