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<html><head><title>R: Remission Times of Leukaemia Patients</title>
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<table width="100%" summary="page for gehan {MASS}"><tr><td>gehan {MASS}</td><td align="right">R Documentation</td></tr></table>
<h2>Remission Times of Leukaemia Patients</h2>


<h3>Description</h3>

<p>
A data frame from a trial of 42 leukaemia patients. Some were
treated with the drug
<EM>6-mercaptopurine</EM>
and the rest are controls.  The trial was designed as matched pairs,
both withdrawn from the trial when either came out of remission.
</p>


<h3>Usage</h3>

<pre>
gehan
</pre>


<h3>Format</h3>

<p>
This data frame contains the following columns:
<dl>
<dt><code>pair</code></dt><dd>label for pair
</dd>
<dt><code>time</code></dt><dd>remission time in weeks
</dd>
<dt><code>cens</code></dt><dd>censoring, 0/1
</dd>
<dt><code>treat</code></dt><dd>treatment, control or 6-MP
</dd></dl>

<h3>Source</h3>

<p>
Cox, D. R. and Oakes, D. (1984)
<EM>Analysis of Survival Data.</EM>
Chapman &amp; Hall, p. 7. Taken from
</p>
<p>
Gehan, E.A. (1965) A generalized Wilcoxon test for comparing
arbitrarily single-censored samples.
<EM>Biometrika</EM>
<B>52</B>, 203&ndash;233.
</p>


<h3>References</h3>

<p>
Venables, W. N. and Ripley, B. D. (2002)
<EM>Modern Applied Statistics with S.</EM> Fourth edition.  Springer.
</p>


<h3>Examples</h3>

<pre>
library(survival)
gehan.surv &lt;- survfit(Surv(time, cens) ~ treat, data = gehan,
     conf.type = "log-log")
summary(gehan.surv)
survreg(Surv(time, cens) ~ factor(pair) + treat, gehan, dist = "exponential")
summary(survreg(Surv(time, cens) ~ treat, gehan, dist = "exponential"))
summary(survreg(Surv(time, cens) ~ treat, gehan))
gehan.cox &lt;- coxph(Surv(time, cens) ~ treat, gehan)
summary(gehan.cox)
</pre>



<hr><div align="center">[Package <em>MASS</em> version 7.2-44 <a href="00Index.html">Index]</a></div>

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