rchazl

Simulates data from multiple piecewise constant baseline hazards for competing risks. 
Takes the minimum of all cause-specific event times and assigns the corresponding cause.

Implementation of various statistical models for multivariate
event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray,
Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Klaus Holst

mets

Analysis of Multivariate Event Times

Klaus K. Holst

Thomas Scheike 

rchazl function

<dl><dt>cumhaz</dt>
<dd>List of cumulative hazard matrices, one for each cause.</dd>
<dt>rr</dt>
<dd>Matrix of relative risks (rows = subjects, columns = causes).</dd>
<dt>causes</dt>
<dd>Vector of cause codes to assign (default NULL, uses 1,2,...).</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>rchaz</code>.</dd></dl>

Arguments

Author

Multiple Cause Piecewise Constant Hazard Simulation — rchazl

<dl>

<dt>cumhaz</dt>
<dd>List of cumulative hazard matrices, one for each cause.</dd>


<dt>rr</dt>
<dd>Matrix of relative risks (rows = subjects, columns = causes).</dd>


<dt>causes</dt>
<dd>Vector of cause codes to assign (default NULL, uses 1,2,...).</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>rchaz</code>.</dd>

</dl>

rchazl: Multiple Cause Piecewise Constant Hazard Simulation

Description

Usage

Value

Arguments

Author

See Also