EValue: Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses

Conducts sensitivity analyses for unmeasured confounding,selection bias, and measurement error (individually or in combination) in individual studies. Also conducts sensitivity analyses for unmeasured confounding in meta-analyses.

Version: 4.1.1
Imports: stats, graphics, ggplot2 (≥ 2.2.1), metafor, methods, boot, MetaUtility, dplyr
Suggests: testthat, knitr, rmarkdown
Published: 2021-01-04
Author: Maya B. Mathur [cre, aut], Louisa H. Smith [aut], Peng Ding [aut], Tyler J. VanderWeele [aut]
Maintainer: Maya B. Mathur <mmathur at stanford.edu>
License: GPL-2
NeedsCompilation: no
Citation: EValue citation info
Materials: README
In views: MetaAnalysis
CRAN checks: EValue results


Reference manual: EValue.pdf
Vignettes: E-values for meta-analyses
Examples of multiple-bias sensitivity analysis
E-values for multiple biases
E-values for selection bias
E-values for unmeasured confounding
Package source: EValue_4.1.1.tar.gz
Windows binaries: r-devel: EValue_4.1.1.zip, r-release: EValue_4.1.1.zip, r-oldrel: EValue_4.1.1.zip
macOS binaries: r-release: EValue_4.1.1.tgz, r-oldrel: EValue_4.1.1.tgz
Old sources: EValue archive


Please use the canonical form https://CRAN.R-project.org/package=EValue to link to this page.