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
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:

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