aalenMets

Fast Lin-Ying additive hazards model with a possibly stratified baseline. 
Robust variance is default variance with the summary.

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 

aalenMets function

<dl><dt>formula</dt>
<dd>formula with 'Surv' outcome (see <code>coxph</code>)</dd>
<dt>data</dt>
<dd>data frame</dd>
<dt>...</dt>
<dd>Additional arguments to phreg</dd></dl>

Arguments

Author

Fast additive hazards model with robust standard errors — aalenMets

<dl>

<dt>formula</dt>
<dd>formula with 'Surv' outcome (see <code>coxph</code>)</dd>


<dt>data</dt>
<dd>data frame</dd>


<dt>...</dt>
<dd>Additional arguments to phreg</dd>

</dl>

aalenMets: Fast additive hazards model with robust standard errors

Description

Usage

Arguments

Author

Details

Examples