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).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


4.1.3 by Maya B. Mathur, a month ago

Browse source code at

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, metadat, methods, boot, MetaUtility, dplyr

Suggests testthat, knitr, rmarkdown

See at CRAN