Survsim

A simulated dataset used to illustrate some models (e.g., example of joint() function in the documentation). The corresponding longitudinal dataset is named 'Longsim'.

datasets

Estimation of joint models for multivariate longitudinal markers (with various distributions available) and survival outcomes (possibly accounting for competing risks) with Integrated Nested Laplace Approximations (INLA). The flexible and user friendly function joint() facilitates the use of the fast and reliable inference technique implemented in the 'INLA' package for joint modeling. More details are given in the help page of the joint() function (accessible via ?joint in the R console) and the vignette associated to the joint() function (accessible via vignette("INLAjoint") in the R console).

Denis Rustand

INLAjoint

Multivariate Joint Modeling for Longitudinal and Time-to-Event
Outcomes with 'INLA'

Elias Teixeira Krainski

Haavard Rue

Janet van Niekerk

Survsim function

## `Survsim`
A data frame with 15 rows and 5 columns:<dl>
 <dt>Id</dt>
<dd>Individual id</dd> <dt>deathTimes</dt>
<dd>Event time</dd> <dt>ctsX</dt>
<dd>Continuous covariate</dd> <dt>binX</dt>
<dd>Binary covariate</dd> <dt>Event1, Event2, Event3</dt>
<dd>Event indicator for the 3 competing risks (individual is censored when the 3 events are 0)</dd> ...</dl>

Format

Simulated competing risks survival dataset — Survsim

## `Survsim`
A data frame with 15 rows and 5 columns:<dl>
 <dt>Id</dt>
<dd>Individual id</dd>

 <dt>deathTimes</dt>
<dd>Event time</dd>

 <dt>ctsX</dt>
<dd>Continuous covariate</dd>

 <dt>binX</dt>
<dd>Binary covariate</dd>

 <dt>Event1, Event2, Event3</dt>
<dd>Event indicator for the 3 competing risks (individual is censored when the 3 events are 0)</dd>

 ...

</dl>

Survsim: Simulated competing risks survival dataset

Description

Usage

Arguments

Format