data_risk

Example data for use with CI.raplot

datasets

Assessing the comparative performance of two logistic regression models or results of such models or classification models. Discrimination metrics include Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), and difference in Area Under the Curves (AUCs), Brier scores and Brier skill. Plots include Risk Assessment Plots, Decision curves and Calibration plots. Methods are described in Pickering and Endre (2012) <doi:10.1373/clinchem.2011.167965> and Pencina et al. (2008) <doi:10.1002/sim.2929>.

Daniel Perez Vicencio

raptools

Risk Assessment Plot and Reclassification Metrics

John W Pickering

Dimitrios Doudesis

data_risk function

data frame with 3 columns<dl>
 <dt>ref</dt>
<dd>The prediction from the baseline model</dd> <dt>new</dt>
<dd>The prediction from the new model</dd> <dt>outcome</dt>
<dd>The outcome of interest (0 or 1)</dd>
</dl>

Format

Simple data set with risk predictions — data_risk

data frame with 3 columns<dl>
 <dt>ref</dt>
<dd>The prediction from the baseline model</dd>

 <dt>new</dt>
<dd>The prediction from the new model</dd>

 <dt>outcome</dt>
<dd>The outcome of interest (0 or 1)</dd>


</dl>

data_risk: Simple data set with risk predictions

Description

Usage

Arguments

Format