visualize

Currently, this implementation is only intended for situations with ...<ul>
<li>two groups (e.g. healthy (&lt;-&gt; specificity) and diseased (&lt;-&gt; sensitivity))</li>
<li>alternative = "greater"</li>
<li>contrast = define_contrast("raw)</li>
</ul>

Enables simultaneous statistical inference for the accuracy of multiple classifiers in multiple subgroups (strata). For instance, allows to perform multiple comparisons in diagnostic accuracy studies with co-primary endpoints sensitivity and specificity (Westphal M, Zapf A. Statistical inference for diagnostic test accuracy studies with multiple comparisons. Statistical Methods in Medical Research. 2024;0(0). <doi:10.1177/09622802241236933>).

Max Westphal

cases

Stratified Evaluation of Subgroup Classification Accuracy

visualize function

<dl><dt>x</dt>
<dd><code>cases_results</code> produced by <code>evaluate</code></dd>
<dt>...</dt>
<dd><code>any</code> further arguments (currently ignored)</dd></dl>

Arguments

Visualize evaluation results — visualize

<dl>

<dt>x</dt>
<dd><code>cases_results</code> produced by <code>evaluate</code></dd>


<dt>...</dt>
<dd><code>any</code> further arguments (currently ignored)</dd>

</dl>

visualize: Visualize evaluation results

Description

Usage

Value

Arguments