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