evalTerminal

returns X(min(D,t)) and min(D,t) and their ratio. for censored observation 0. 
to use with the IPCW models implemented.

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 

evalTerminal function

<dl><dt>formula</dt>
<dd>formula with 'Event' outcome and X to evaluate at min(D,t)</dd>
<dt>data</dt>
<dd>data frame</dd>
<dt>death.code</dt>
<dd>codes for death (terminating event, 2 default)</dd>
<dt>time</dt>
<dd>for evaluation</dd></dl>

Arguments

Author

Evaluates piece constant covariates at min(D,t) where D is a terminal event — evalTerminal

<dl>

<dt>formula</dt>
<dd>formula with 'Event' outcome and X to evaluate at min(D,t)</dd>


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


<dt>death.code</dt>
<dd>codes for death (terminating event, 2 default)</dd>


<dt>time</dt>
<dd>for evaluation</dd>

</dl>

evalTerminal: Evaluates piece constant covariates at min(D,t) where D is a terminal event

Description

Usage

Arguments

Author