print.episensr

Print associations for episensr objects.

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

episensr

Basic Sensitivity Analysis of Epidemiological Results

print.episensr function

<dl><dt>x</dt>
<dd>An object of class 'episensr'.</dd>
<dt>digits</dt>
<dd>Minimal number of _significant_ digits, see 'print.default'.</dd>
<dt>...</dt>
<dd>Other unused arguments.</dd></dl>

Arguments

Print associations for episensr class — print.episensr

<dl>

<dt>x</dt>
<dd>An object of class 'episensr'.</dd>


<dt>digits</dt>
<dd>Minimal number of _significant_ digits, see 'print.default'.</dd>


<dt>...</dt>
<dd>Other unused arguments.</dd>

</dl>

print.episensr: Print associations for episensr class

Description

Usage

Value

Arguments