data_sim_rec

A simulated real dataset of bivariate recurrent events data with 500 subjects and 6 columns.

datasets

Copula-based regression models for multivariate censored data, including
bivariate right-censored data, bivariate interval-censored data, and right/interval-censored
semi-competing risks data. Currently supports Clayton, Gumbel, Frank, Joe, AMH and
Copula2 copula models. For marginal models, it supports parametric (Weibull, Loglogistic,
Gompertz) and semiparametric (Cox and transformation) models. Includes methods for
convenient prediction and plotting. Also provides a bivariate time-to-event simulation
function and an information ratio-based goodness-of-fit test for copula. Method details
can be found in Sun et.al (2019) Lifetime Data Analysis, Sun et.al (2021) Biostatistics,
Sun et.al (2022) Statistical Methods in Medical Research, Sun et.al (2022) Biometrics, and
Sun et al. (2023+) JRSSC.

Tao Sun

CopulaCenR

Copula-Based Regression Models for Multivariate Censored Data

data_sim_rec function

A data frame with 500 subjects on the following 6 variables.<dl>
 <dt><code>id</code></dt>
<dd>subject id</dd> <dt><code>gap1</code></dt>
<dd>observed time of the first gap time</dd> <dt><code>status1</code></dt>
<dd>censoring indicator of the first event; 1=exactly observed, 0=right censor.</dd> <dt><code>gap2</code></dt>
<dd>observed time of the second gap time</dd> <dt><code>status2</code></dt>
<dd>censoring indicator of the second event; 1=exactly observed, 0=right censor.</dd> <dt><code>d</code></dt>
<dd>cluster size</dd> 
</dl>

Format

data_sim_rec — data_sim_rec

A data frame with 500 subjects on the following 6 variables.<dl>
 <dt><code>id</code></dt>
<dd>subject id</dd>

 <dt><code>gap1</code></dt>
<dd>observed time of the first gap time</dd>

 <dt><code>status1</code></dt>
<dd>censoring indicator of the first event; 1=exactly observed, 0=right censor.</dd>

 <dt><code>gap2</code></dt>
<dd>observed time of the second gap time</dd>

 <dt><code>status2</code></dt>
<dd>censoring indicator of the second event; 1=exactly observed, 0=right censor.</dd>

 <dt><code>d</code></dt>
<dd>cluster size</dd>

 
</dl>

data_sim_rec: data_sim_rec

Description

Usage

Arguments

Format