print.episensr_booted

Print bootstrap-ed confidence intervals for selection and misclassification bias functions.

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 Fox M.P., MacLehose R.F., and Lash T.L. "Applying
Quantitative Bias Analysis to Epidemiologic Data, second ed.", ('Springer', 2021).

Denis Haine

episensr

Basic Sensitivity Analysis of Epidemiological Results

print.episensr_booted function

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

Arguments

Print bootstrapped confidence intervals — print.episensr_booted

<dl>

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


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


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

</dl>

print.episensr_booted: Print bootstrapped confidence intervals

Description

Usage

Value

Arguments