simDat

A simulated data frame with the following variables<dl class="dl-horizontal">
 <dt>id</dt><dd>subjects identification</dd>
 <dt>t.start</dt><dd>start of the interval</dd>
 <dt>t.stop</dt><dd>endpoint of the interval; when time origin is 0 this variable also marks the recurrence or terminal/censoring time</dd>
 <dt>status</dt><dd>terminal event indicator; 1 if a terminal event is recorded</dd>
 <dt>event</dt><dd>recurrent event indicator; 1 if a recurrent event is recorded</dd>
 <dt>x1</dt><dd>baseline covariate generated from a standard uniform distribution</dd>
 <dt>x2</dt><dd>baseline covariate generated from a standard uniform distribution (independent from <code>z1</code></dd>
</dl>

A comprehensive collection of practical and easy-to-use tools for regression analysis of recurrent events, with or without the presence of a (possibly) informative terminal event. The modeling framework is based on a joint frailty scale-change model, that includes models described in Wang et al. (2001) <doi:10.1198/016214501753209031>, Huang and Wang (2004) <doi:10.1198/016214504000001033>, Xu et al. (2017) <doi:10.1080/01621459.2016.1173557>, and Xu et al. (2019) <doi:10.5705/SS.202018.0224> as special cases. The implemented estimating procedure does not require any parametric assumption on the frailty distribution. The package also allows the users to specify different model forms for both the recurrent event process and the terminal event.

Sy  Chiou

reReg

Recurrent Event Regression

Sy Han (Steven) Chiou

Chiung-Yu  Huang

simDat function

A data frame with 874 rows and 7 variables.

Format

A simulated data frame with the following variables<dl class='dl-horizontal'>
 <dt>id</dt><dd>subjects identification</dd>
 <dt>t.start</dt><dd>start of the interval</dd>
 <dt>t.stop</dt><dd>endpoint of the interval; when time origin is 0 this variable also marks the recurrence or terminal/censoring time</dd>
 <dt>status</dt><dd>terminal event indicator; 1 if a terminal event is recorded</dd>
 <dt>event</dt><dd>recurrent event indicator; 1 if a recurrent event is recorded</dd>
 <dt>x1</dt><dd>baseline covariate generated from a standard uniform distribution</dd>
 <dt>x2</dt><dd>baseline covariate generated from a standard uniform distribution (independent from <code>z1</code></dd>
</dl>

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simDat: Simulated dataset for demonstration

Description

Usage

Arguments

Format

Details