Newlevels.cmprsk

Uses the <code>Newlevels</code> function to change the labels predictors when constructing a nomogram.

attributes

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

Newlevels.cmprsk function

<dl><dt>fit</dt>
<dd>A model fit by <code>crr.fit</code></dd>
<dt>levels</dt>
<dd>A list of named vectors specifying the new level labels for categorical predictors.</dd>
<dt>...</dt>
<dd>Other arguments for <code>Newlevels</code></dd></dl>

Arguments

Changhong Yu. Department of
Quantitative Health Sciences, Cleveland Clinic

Author

Change the Level Labels of Categorical Predictors for a Competing Risks Regression Model — Newlevels.cmprsk

<dl>

<dt>fit</dt>
<dd>A model fit by <code>crr.fit</code></dd>


<dt>levels</dt>
<dd>A list of named vectors specifying the new level labels for categorical predictors.</dd>


<dt>...</dt>
<dd>Other arguments for <code>Newlevels</code></dd>

</dl>

Newlevels.cmprsk: Change the Level Labels of Categorical Predictors for a Competing Risks Regression Model

Description

Usage

Value

Arguments

Author

See Also

Examples