EValue: Sensitivity Analyses for Unmeasured Confounding and Other Biasesin 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, Mathur, & VanderWeele (2021) <doi:10.1097/EDE.0000000000001380>). 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., <doi:10.1093/ije/dyac073>).
| Version: | 4.1.4 |
| Imports: | stats, graphics,ggplot2 (≥ 2.2.1),metafor, methods,boot,MetaUtility,dplyr |
| Suggests: | testthat,knitr,rmarkdown,metadat |
| Published: | 2025-08-28 |
| 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 |
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