auc_ci_empr


Computation of confidence intervals for the AUC by implementing the empirical
procedure for estimating the variance of the AUC, as described in tools:::Rd_expr_doi("10.1515/ijb-2019-0097").

auc_ci_empr-internal

Provides estimations of the Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) based on the two-stages mixed-subjects ROC curve estimator (Diaz-Coto et al. (2020) <doi:10.1515/ijb-2019-0097> and Diaz-Coto et al. (2020) <doi:10.1080/00949655.2020.1736071>).

Susana Diaz-Coto

sMSROC

Assessment of Diagnostic and Prognostic Markers

auc_ci_empr-internal function

<dl> <dt>SE</dt>
<dd>vector containing the values of the sensitivity returned from the <code>sMSROC</code> function.</dd> <dt>SP</dt>
<dd>vector containing the values of the specificity.</dd> <dt>auc</dt>
<dd>value with the AUC estimate.</dd> <dt>probs</dt>
<dd>vector containing the probabilities estimated through the predictive model.</dd> <dt>controls</dt>
<dd>number of negative individuals.</dd> <dt>cases</dt>
<dd>number of positive individuals.</dd> <dt>ci.cl</dt>
<dd>confidence level at which confidence intervals will be computed.</dd></dl>

Arguments

Confidence intervals for the AUC (empirical variance estimation) — auc_ci_empr-internal

<dl>

 <dt>SE</dt>
<dd>vector containing the values of the sensitivity returned from the <code>sMSROC</code> function.</dd>

 <dt>SP</dt>
<dd>vector containing the values of the specificity.</dd>

 <dt>auc</dt>
<dd>value with the AUC estimate.</dd>

 <dt>probs</dt>
<dd>vector containing the probabilities estimated through the predictive model.</dd>

 <dt>controls</dt>
<dd>number of negative individuals.</dd>

 <dt>cases</dt>
<dd>number of positive individuals.</dd>

 <dt>ci.cl</dt>
<dd>confidence level at which confidence intervals will be computed.</dd>

</dl>

auc_ci_empr-internal: Confidence intervals for the AUC (empirical variance estimation)

Description

Usage

Value

Arguments