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EValue

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

Installation

About

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) ). 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).

Citation EValue citation info

Key Metrics

Version 4.1.3
Published 2021-10-28 921 days ago
Needs compilation? no
License GPL-2
CRAN checks EValue results

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Maintainer

Maintainer

Maya B. Mathur

mmathur@stanford.edu

Authors

Maya B. Mathur

cre / aut

Louisa H. Smith

aut

Peng Ding

aut

Tyler J. VanderWeele

aut

Material

README
Reference manual
Package source

In Views

CausalInference
MetaAnalysis

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

EValue archive

Imports

stats
graphics
ggplot2 ≥ 2.2.1
metafor
metadat
methods
boot
MetaUtility
dplyr

Suggests

testthat
knitr
rmarkdown