scrData

Simulated semi-competing risks data

datasets

semi-competing risks analysis

Hierarchical multistate models are considered to perform the analysis of independent/clustered semi-competing risks data. The package allows to choose the specification for model components from a range of options giving users substantial flexibility, including: accelerated failure time or proportional hazards regression models; parametric or non-parametric specifications for baseline survival functions and cluster-specific random effects distribution; a Markov or semi-Markov specification for terminal event following non-terminal event. While estimation is mainly performed within the Bayesian paradigm, the package also provides the maximum likelihood estimation approach for several parametric models. The package also includes functions for univariate survival analysis as complementary analysis tools.

Kyu Lee

SemiCompRisks

Hierarchical Models for Parametric and Semi-Parametric Analyses
of Semi-Competing Risks Data

scrData function

a data frame with 2000 observations on the following 14 variables.<dl class="dl-horizontal">
 <dt><code>time1</code></dt><dd>the time to non-terminal event</dd>
 <dt><code>event1</code></dt><dd>the censoring indicators for the non-terminal event time; 1=event observed, 0=censored/truncated</dd>
 <dt><code>time2</code></dt><dd>the time to terminal event</dd>
 <dt><code>event2</code></dt><dd>the censoring indicators for the terminal event time; 1=event observed, 0=censored</dd>
 <dt><code>cluster</code></dt><dd>cluster numbers</dd>
 <dt><code>x1</code></dt><dd>a vector of continuous covarate</dd>
 <dt><code>x2</code></dt><dd>a vector of continuous covarate</dd>
 <dt><code>x3</code></dt><dd>a vector of continuous covarate</dd>
 </dl>

Format

A simulated clustered semi-competing risks data set — scrData

a data frame with 2000 observations on the following 14 variables.<dl class='dl-horizontal'>
 <dt><code>time1</code></dt><dd>the time to non-terminal event</dd>
 <dt><code>event1</code></dt><dd>the censoring indicators for the non-terminal event time; 1=event observed, 0=censored/truncated</dd>
 <dt><code>time2</code></dt><dd>the time to terminal event</dd>
 <dt><code>event2</code></dt><dd>the censoring indicators for the terminal event time; 1=event observed, 0=censored</dd>
 <dt><code>cluster</code></dt><dd>cluster numbers</dd>
 <dt><code>x1</code></dt><dd>a vector of continuous covarate</dd>
 <dt><code>x2</code></dt><dd>a vector of continuous covarate</dd>
 <dt><code>x3</code></dt><dd>a vector of continuous covarate</dd>
 </dl>

scrData: A simulated clustered semi-competing risks data set

Description

Usage

Arguments

Format

Examples