cinpv

This function computes a confidence interval for the negative predictive value
from a ROC curve, given the prevalence of the negative outcome.

Alternative and fast algorithms for the analysis of receiver operating
characteristics curves (ROC curves) as described in Thomas et al. (2017)
<doi:10.1186/s41512-017-0017-y> and Thomas et al. (2023) <doi:10.1016/j.ajogmf.2023.101110>.

Gregoire Thomas

alternativeROC

Alternative and Fast ROC Analysis

Robin Tuytten

Jef Moerman

Xavier Robin

Stefan Siegert

cinpv function

<dl><dt>roc</dt>
<dd>Object of class pROC.</dd>
<dt>npv</dt>
<dd>Negative predictive value.</dd>
<dt>prevalence</dt>
<dd>Prevalence of the endpoint in the study population.</dd>
<dt>boot.n</dt>
<dd>Number of bootstrap replicates. Default: 2000.</dd>
<dt>quantiles</dt>
<dd>Quantiles. Default: c(0.5,.025,.975).</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Diagnostic performance: Confidence interval for negative predictive value — cinpv

<dl>

<dt>roc</dt>
<dd>Object of class pROC.</dd>


<dt>npv</dt>
<dd>Negative predictive value.</dd>


<dt>prevalence</dt>
<dd>Prevalence of the endpoint in the study population.</dd>


<dt>boot.n</dt>
<dd>Number of bootstrap replicates. Default: 2000.</dd>


<dt>quantiles</dt>
<dd>Quantiles. Default: c(0.5,.025,.975).</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

cinpv: Diagnostic performance: Confidence interval for negative predictive value

Description

Usage

Value

Arguments

Details