<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html><head><title>R: Bladder Cancer Data</title>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<link rel="stylesheet" type="text/css" href="R.css">
</head><body>

<table width="100%" summary="page for bladdercancer"><tr><td>bladdercancer</td><td align="right">R Documentation</td></tr></table>

<h2> Bladder Cancer Data </h2>

<h3>Description</h3>


<p>Data arise from 31 male patients who have been treated for 
superficial bladder cancer, and give the number of recurrent tumours during 
a particular time after the removal of the primary tumour, along with the size of the 
original tumour.
</p>


<h3>Usage</h3>

<pre>data("bladdercancer")</pre>


<h3>Format</h3>


<p>A data frame with 31 observations on the following 3 variables.
</p>

<dl>
<dt><code>time</code></dt><dd><p>the duration.</p>
</dd>
<dt><code>tumorsize</code></dt><dd><p>a factor with levels <code>&lt;=3cm</code> and <code>&gt;3cm</code>.</p>
</dd>
<dt><code>number</code></dt><dd><p>number of recurrent tumours.</p>
</dd>
</dl>



<h3>Details</h3>


<p>The aim is the estimate the effect of size of tumour on the number  
of recurrent tumours.
</p>


<h3>Source</h3>


<p>G. U. H. Seeber (1998), Poisson Regression. In: <EM>Encyclopedia of Biostatistics</EM>
(P. Armitage and T. Colton, eds), John Wiley \&amp; Sons, Chichester.
</p>


<h3>Examples</h3>

<pre>

  data("bladdercancer", package = "HSAUR")
  mosaicplot(xtabs(~ number + tumorsize, data = bladdercancer))

</pre>


</body></html>
