data_3class_bcx

A simulated data example with 60 clusters. This dataset is used in a example of analysis with Box-Cox transformation.

data

Statistical methods for ROC surface analysis in three-class classification problems for clustered data and in presence of covariates. In particular, the package allows to obtain covariate-specific point and interval estimation for:
(i) true class fractions (TCFs) at fixed pairs of thresholds;
(ii) the ROC surface;
(iii) the volume under ROC surface (VUS);
(iv) the optimal pairs of thresholds.
Methods considered in points (i), (ii) and (iv) are proposed and discussed in To et al. (2022) <doi:10.1177/09622802221089029>. Referring to point (iv), three different selection criteria are implemented: Generalized Youden Index (GYI), Closest to Perfection (CtP) and Maximum Volume (MV). Methods considered in point (iii) are proposed and discussed in Xiong et al. (2018) <doi:10.1177/0962280217742539>. Visualization tools are also provided. We refer readers to the articles cited above for all details.

Duc-Khanh To

ClusROC

ROC Analysis in Three-Class Classification Problems for
Clustered Data

Gianfranco Adimari

Monica Chiogna

data_3class_bcx function

A data frame with 582 observations (from 60 clusters).<dl>
 <dt><code>id_Clus</code></dt>
<dd>the id number of cluster.</dd> <dt><code>Y</code></dt>
<dd>a vector containing test results.</dd> <dt><code>D</code></dt>
<dd>a factor with 3 levels for disease status, 1, 2, 3. The levels correspond to benign disease, early stage and late stage.</dd> <dt><code>X</code></dt>
<dd>a continuous covariate.</dd>
</dl>

Format

A simulated data — data_3class_bcx

A data frame with 582 observations (from 60 clusters).<dl>
 <dt><code>id_Clus</code></dt>
<dd>the id number of cluster.</dd>

 <dt><code>Y</code></dt>
<dd>a vector containing test results.</dd>

 <dt><code>D</code></dt>
<dd>a factor with 3 levels for disease status, 1, 2, 3. The levels correspond to benign disease, early stage and late stage.</dd>

 <dt><code>X</code></dt>
<dd>a continuous covariate.</dd>


</dl>

data_3class_bcx: A simulated data

Description

Usage

Arguments

Format