scrData

datasets

semi-competing risks analysis

Parametric and semi-parametric analyses of semi-competing risks/univariate survival data.

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>
    <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