tplant

Survival following kidney transplantation

datasets

Datasets for the book entitled "Modelling Survival Data in Medical Research" by Collett (2023) <doi:10.1201/9781003282525>. The datasets provide extensive examples of time-to-event data.

Mark Clements

collett

Datasets from "Modelling Survival Data in Medical Research" by
Collett

Enoch Yi-Tung Chen

tplant function

A data frame with 434 rows and 7 variables:<dl>
<dt><code>patient</code></dt>
<dd>integer patient id</dd><dt><code>donor</code></dt>
<dd>integer donoe id</dd><dt><code>time</code></dt>
<dd>integer survival time in days</dd><dt><code>status</code></dt>
<dd>integer event indicator (0=censored, 1=graft failure or death with a functioning graft)</dd><dt><code>age</code></dt>
<dd>integer patient age (years)</dd><dt><code>diabetes</code></dt>
<dd>integer diabetes status (0=absent, 1=present)</dd><dt><code>cit</code></dt>
<dd>double cold ischaemic time, the time in hours between retrieval of the kidney from the donor and the transplantation</dd>
</dl>

Format

Survival following kidney transplantation — tplant

A data frame with 434 rows and 7 variables:<dl>
<dt><code>patient</code></dt>
<dd>integer patient id</dd>

<dt><code>donor</code></dt>
<dd>integer donoe id</dd>

<dt><code>time</code></dt>
<dd>integer survival time in days</dd>

<dt><code>status</code></dt>
<dd>integer event indicator (0=censored, 1=graft failure or death with a functioning graft)</dd>

<dt><code>age</code></dt>
<dd>integer patient age (years)</dd>

<dt><code>diabetes</code></dt>
<dd>integer diabetes status (0=absent, 1=present)</dd>

<dt><code>cit</code></dt>
<dd>double cold ischaemic time, the time in hours between retrieval of the kidney from the donor and the transplantation</dd>


</dl>

tplant: Survival following kidney transplantation

Description

Usage

Arguments

Format

Details