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The package apisensr
provides a graphical interface to
the package episensr
, quantitative bias analysis for
epidemiologic data following methods compiled by Fox et al. in their
book “Applying
Quantitative Bias Analysis to Epidemiologic Data, 2nd
ed.”. A demonstration of its use is available in the paper by
Banack, Smith and Bodnar: Application of a Web-based Tool for
Quantitative Bias Analysis: The Example of Misclassification Due to
Self-reported Body Mass Index (Epidemiology
2024;35(3):359-367).
To run apisensr
:
The following functions are available in episensr
and
apisensr
. Please refer to episensr
for more
details about these functions, either on CRAN or the episensr website.
Functions available in: | episensr |
apisensr app |
---|---|---|
selection | x | x |
probsens.sel | x | x |
mbias | x | x |
confounders | x | x |
confounders.emm | x | x |
confounders.poly | x | x |
probsens_conf | x | x |
confounders.array | x | x |
confounders.evalue | x | |
confounders.ext | x | x |
confounders.limit | x | x |
probsens.irr.conf | x | |
misclass | x | x |
probsens | x | x |
misclass_cov | x | x |
probsens.irr | x | |
bootstrap | x | |
multidimBias | x | x |
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.