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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; VanderWeele & Ding (2017) <doi:10.7326/M16-2607>; Smith & VanderWeele (2019) <doi:10.1097/EDE.0000000000001032>; VanderWeele & Li (2019) <doi:10.1093/aje/kwz133>; Smith & VanderWeele (2021) <doi:10.48550/arXiv.2005.02908>). Also conducts sensitivity analyses for unmeasured confounding in meta-analyses (Mathur & VanderWeele (2020a) <doi:10.1080/01621459.2018.1529598>; Mathur & VanderWeele (2020b) <doi:10.1097/EDE.0000000000001180>) and for additive measures of effect modification (Mathur et al., under review).

Version: 4.1.3
Imports: stats, graphics, ggplot2 (≥ 2.2.1), metafor, metadat, methods, boot, MetaUtility, dplyr
Suggests: testthat, knitr, rmarkdown
Published: 2021-10-28
DOI: 10.32614/CRAN.package.EValue
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: CausalInference, MetaAnalysis
CRAN checks: EValue results

Documentation:

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

Downloads:

Package source: EValue_4.1.3.tar.gz
Windows binaries: r-devel: EValue_4.1.3.zip, r-release: EValue_4.1.3.zip, r-oldrel: EValue_4.1.3.zip
macOS binaries: r-release (arm64): EValue_4.1.3.tgz, r-oldrel (arm64): EValue_4.1.3.tgz, r-release (x86_64): EValue_4.1.3.tgz, r-oldrel (x86_64): EValue_4.1.3.tgz
Old sources: EValue archive

Reverse dependencies:

Reverse imports: multibiasmeta

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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