pred.ci

Extracts the cumulative incidence estimates from a <code>cuminc</code> object for the cause of interest at a specified time point into a <code><a href="/link/data.frame?package=QHScrnomo&version=3.0.2" data-mini-rdoc="QHScrnomo::data.frame">data.frame</a></code>.

Nomograms are constructed to predict the cumulative incidence
rate which is calculated after adjusting for competing causes to the event of interest.
K-fold cross-validation is implemented to validate predictive accuracy using a competing-risk version of the concordance index.
Methods are as described in: Kattan MW, Heller G,
Brennan MF (2003).

Zajichek Alex

QHScrnomo

Construct Nomograms for Competing Risks Regression Models

Michael Kattan

Changhong Yu

Xinge Ji

pred.ci function

<dl><dt>cum</dt>
<dd>A <code>cuminc</code> object</dd>
<dt>tm1</dt>
<dd>A single time point to return the cumulative incidence at</dd>
<dt>failcode</dt>
<dd>The value of the status column that indicates the event of interest</dd></dl>

Arguments

Michael W. Kattan, Ph.D. and Changhong Yu. Department of Quantitative Health Sciences, Cleveland Clinic

Author

Extracts the cumulative incidence estimates from a <code>cuminc</code> object for the cause of interest at a specified time point into a <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code>.

Extract Cumulative Incidence Estimates at a Specified Time Point — pred.ci

<dl>

<dt>cum</dt>
<dd>A <code>cuminc</code> object</dd>


<dt>tm1</dt>
<dd>A single time point to return the cumulative incidence at</dd>


<dt>failcode</dt>
<dd>The value of the status column that indicates the event of interest</dd>

</dl>

Michael W. Kattan, Ph.D. and Changhong Yu. Department of Quantitative Health Sciences, Cleveland Clinic

pred.ci: Extract Cumulative Incidence Estimates at a Specified Time Point

Description

Usage

Value

Arguments

Author

See Also

Examples