cumoddsreg

A wrapper function for <code>interval_logitsurv_discrete</code> that simplifies the 
interface for discrete time-to-event data where the event time is observed exactly 
or as a factor level. It converts a factor response into an interval-censored format 
internally.

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 

cumoddsreg function

<dl><dt>formula</dt>
<dd>Formula with a factor response on the left-hand side (representing 
the event time) and covariates on the right.</dd>
<dt>data</dt>
<dd>Data frame.</dd>
<dt>...</dt>
<dd>Arguments passed to <code>interval_logitsurv_discrete</code>.</dd></dl>

Arguments

Author

Cumulative Odds Regression for Discrete Time Data — cumoddsreg

<dl>

<dt>formula</dt>
<dd>Formula with a factor response on the left-hand side (representing 
the event time) and covariates on the right.</dd>


<dt>data</dt>
<dd>Data frame.</dd>


<dt>...</dt>
<dd>Arguments passed to <code>interval_logitsurv_discrete</code>.</dd>

</dl>

cumoddsreg: Cumulative Odds Regression for Discrete Time Data

Description

Usage

Value

Arguments

Author

See Also