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<h2>Data on 38 individuals using a kidney dialysis machine</h2>

<h3>Description</h3>


<p>Data on 38 individuals using a kidney dialysis machine See Problem 13.5.2
</p>


<h3>Usage</h3>

<pre>data(kidrecurr)</pre>


<h3>Format</h3>


<p>A data frame with 38 observations on the following 10 variables.
</p>

<dl>
<dt>patient</dt><dd><p>Patient number</p>
</dd>
<dt>time1</dt><dd><p>Time one of recurrence of infection, days</p>
</dd>
<dt>infect1</dt><dd><p>Indicator infection one (1=yes, 0=no)</p>
</dd>
<dt>time2</dt><dd><p>Time two of recurrence of infection, days</p>
</dd>
<dt>infect2</dt><dd><p>Indicator infection two (1=yes, 0=no)</p>
</dd>
<dt>age</dt><dd><p>Patient's age</p>
</dd>
<dt>gender</dt><dd><p>Patient's gender</p>
</dd>
<dt>gn</dt><dd><p>Disease type GN (1=yes, 0=no)</p>
</dd>
<dt>an</dt><dd><p>Disease type AN (1=yes, 0=no)</p>
</dd>
<dt>pkd</dt><dd><p>Disease type PKD (1=yes, 0=no)</p>
</dd>
</dl>



<h3>Source</h3>


<p>Klein and Moeschberger (1997) <EM>Survival Analysis Techniques for Censored
and truncated data</EM>, Springer.
McGilchrist and Aisbett 47 (1991):461-466.
</p>


<h3>Examples</h3>

<pre>
data(kidrecurr)
</pre>


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