episensr: Basic Sensitivity Analysis of Epidemiological Results

Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. It follows the bias analysis methods and examples from the book by Lash T.L, Fox M.P, and Fink A.K. "Applying Quantitative Bias Analysis to Epidemiologic Data", ('Springer', 2009).

Install the latest version of this package by entering the following in R:
install.packages("episensr")
AuthorDenis Haine [aut, cre]
Date of publication2017-01-04 18:48:20
MaintainerDenis Haine <denis.haine@gmail.com>
LicenseGPL-2
Version0.8.0

View on CRAN

Functions

boot.bias Man page
confounders Man page
confounders.emm Man page
confounders.limit Man page
confounders.poly Man page
episensr Man page
episensr-package Man page
mbias Man page
misclassification Man page
multidimBias Man page
plot.episensr.booted Man page
plot.mbias Man page
print.episensr Man page
print.episensr.booted Man page
print.mbias Man page
probsens Man page
probsens.conf Man page
probsens.irr Man page
probsens.irr.conf Man page
probsens.sel Man page
selection Man page
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Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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