ConfoundedMeta (1.0.0)

Sensitivity Analyses for Unmeasured Confounding in Meta-Analyses.

Conducts sensitivity analyses for unmeasured confounding in random-effects meta-analysis per Mathur & VanderWeele (in preparation). Given output from a random-effects meta-analysis with a relative risk outcome, computes point estimates and inference for: (1) the proportion of studies with true causal effect sizes more extreme than a specified threshold of scientific significance; and (2) the minimum bias factor and confounding strength required to reduce to less than a specified threshold the proportion of studies with true effect sizes of scientifically significant size. Creates plots and tables for visualizing these metrics across a range of bias values.

Maintainer: Maya B. Mathur
Author(s): Maya B. Mathur, Tyler J. VanderWeele

License: GPL-2

Uses: ggplot2, metafor

Released over 2 years ago.