ConfoundedMeta: Sensitivity Analyses for Unmeasured Confounding in Meta-Analyses
Version 1.3.0

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. Provides tools to easily scrape study-level data from a published forest plot or summary table to obtain the needed estimates when these are not reported.

Getting started

Package details

AuthorMaya B. Mathur, Tyler J. VanderWeele
Date of publication2017-08-14 13:17:55 UTC
MaintainerMaya B. Mathur <[email protected]>
LicenseGPL-2
Version1.3.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ConfoundedMeta")

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ConfoundedMeta documentation built on Aug. 14, 2017, 5:09 p.m.