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>.
Also contains two-stage binomial modelling that can do pairwise odds-ratio
dependence modelling based marginal logistic regression models. This is an
alternative to the alternating logistic regression approach (ALR).

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