test.conc

.. content for description (no empty lines) ..

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 

test.conc function

<dl><dt>conc1</dt>
<dd>Concordance estimate of group 1</dd>
<dt>conc2</dt>
<dd>Concordance estimate of group 2</dd>
<dt>same.cluster</dt>
<dd>if FALSE then groups are independent, otherwise estimates are based on same data.</dd></dl>

Arguments

Author

Concordance test Compares two concordance estimates — test.conc

<dl>

<dt>conc1</dt>
<dd>Concordance estimate of group 1</dd>


<dt>conc2</dt>
<dd>Concordance estimate of group 2</dd>


<dt>same.cluster</dt>
<dd>if FALSE then groups are independent, otherwise estimates are based on same data.</dd>

</dl>

test.conc: Concordance test Compares two concordance estimates

Description

Usage

Arguments

Author