Conducts sensitivity analyses for unmeasured confounding,selection bias, and measurement error (individually or in combination) in individual studies. Also conducts sensitivity analyses for unmeasured confounding in meta-analyses.
Version: | 4.1.1 |
Imports: | stats, graphics, ggplot2 (≥ 2.2.1), metafor, methods, boot, MetaUtility, dplyr |
Suggests: | testthat, knitr, rmarkdown |
Published: | 2021-01-04 |
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: | MetaAnalysis |
CRAN checks: | EValue results |
Reference manual: | EValue.pdf |
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 |
Package source: | EValue_4.1.1.tar.gz |
Windows binaries: | r-devel: EValue_4.1.1.zip, r-release: EValue_4.1.1.zip, r-oldrel: EValue_4.1.1.zip |
macOS binaries: | r-release: EValue_4.1.1.tgz, r-oldrel: EValue_4.1.1.tgz |
Old sources: | EValue archive |
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