episensr-package

episensr

'episensr' provides basic sensitivity analysis of the observed relative
 risks adjusting for unmeasured confounding and misclassification of
 the exposure/outcome, or both.

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', 2021).

Denis Haine

Basic Sensitivity Analysis of Epidemiological Results

episensr-package function

Maintainer: Denis Haine <a href="/link/denis.haine%40gmail.com?package=episensr&version=1.3.0" data-mini-rdoc="episensr::denis.haine@gmail.com">denis.haine@gmail.com</a>

Author

episensr: Basic sensitivity analysis of epidemiological results — episensr-package

Maintainer: Denis Haine <a href='mailto:denis.haine@gmail.com'>denis.haine@gmail.com</a>

episensr-package: episensr: Basic sensitivity analysis of epidemiological results

Description

Arguments

Author

References

See Also