ConfoundedMeta: 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. 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.

Version: 1.3.0
Imports: ggplot2 (≥ 2.2.1), metafor, stats
Published: 2017-08-14
Author: Maya B. Mathur, Tyler J. VanderWeele
Maintainer: Maya B. Mathur <maya.z.mathur at gmail.com>
License: GPL-2
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: ConfoundedMeta results

Downloads:

Reference manual: ConfoundedMeta.pdf
Package source: ConfoundedMeta_1.3.0.tar.gz
Windows binaries: r-devel: ConfoundedMeta_1.3.0.zip, r-release: ConfoundedMeta_1.3.0.zip, r-oldrel: ConfoundedMeta_1.3.0.zip
OS X El Capitan binaries: r-release: ConfoundedMeta_1.3.0.tgz
OS X Mavericks binaries: r-oldrel: ConfoundedMeta_1.3.0.tgz
Old sources: ConfoundedMeta archive

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