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) ; Smith & VanderWeele (2019) ; VanderWeele & Li (2019) ; Smith & VanderWeele (2021) ). Also conducts sensitivity analyses for unmeasured confounding in meta-analyses (Mathur & VanderWeele (2020a) ; Mathur & VanderWeele (2020b) ) and for additive measures of effect modification (Mathur et al., under review).


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install.packages("EValue")

4.1.2 by Maya B. Mathur, 12 days ago


Browse source code at https://github.com/cran/EValue


Authors: Maya B. Mathur [cre, aut] , Louisa H. Smith [aut] , Peng Ding [aut] , Tyler J. VanderWeele [aut]


Documentation:   PDF Manual  


Task views: Meta-Analysis


GPL-2 license


Imports stats, graphics, ggplot2, metafor, methods, boot, MetaUtility, dplyr

Suggests testthat, knitr, rmarkdown


See at CRAN