dialysis

Time from dialysis to infection for patients with diseases of the kidney.

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

dialysis function

A data frame with 13 rows and 5 variables:<dl>
<dt><code>patient</code></dt>
<dd>integer patient id</dd><dt><code>time</code></dt>
<dd>integer time to infection (days)</dd><dt><code>status</code></dt>
<dd>integer event indicator (0=censored, 1=infection)</dd><dt><code>age</code></dt>
<dd>integer age in years</dd><dt><code>sex</code></dt>
<dd>integer sex of the patient (1=male, 2=female)</dd>
</dl>

Format

Infection in patients on dialysis — dialysis

A data frame with 13 rows and 5 variables:<dl>
<dt><code>patient</code></dt>
<dd>integer patient id</dd>

<dt><code>time</code></dt>
<dd>integer time to infection (days)</dd>

<dt><code>status</code></dt>
<dd>integer event indicator (0=censored, 1=infection)</dd>

<dt><code>age</code></dt>
<dd>integer age in years</dd>

<dt><code>sex</code></dt>
<dd>integer sex of the patient (1=male, 2=female)</dd>


</dl>

dialysis: Infection in patients on dialysis

Description

Usage

Arguments

Format

Details