<div class="sc-jegwdG lhLRCf"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-davvxH eCVTlP"><div class="sc-jCNfQM dTyvWO"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-gVIFzB gQKGyV"><p>The data set contains patient records from a 1984-1989 trial conducted by the German Breast Cancer Study Group (GBSG) of 720 patients with node positive breast cancer; it retains the 686 patients with complete data for the prognostic variables.<br>

These data sets are used in the paper by Royston and Altman(2013). The Rotterdam data is used to create a fitted model, and the GBSG data for validation of the model. The paper gives references for the data source.</p>

<h1>Dataset Format</h1>

<p>A data set with 686 observations and 11 variables.</p>

<table>

<thead>

<tr>

<th>Columns</th>

<th>Description</th>

</tr>

</thead>

<tbody>

<tr>

<td>pid</td>

<td>patient identifier</td>

</tr>

<tr>

<td>age</td>

<td>age, years</td>

</tr>

<tr>

<td>meno</td>

<td>menopausal status (0= premenopausal, 1= postmenopausal)</td>

</tr>

<tr>

<td>size</td>

<td>tumor size, mm</td>

</tr>

<tr>

<td>grade</td>

<td>tumor grade</td>

</tr>

<tr>

<td>nodes</td>

<td>number of positive lymph nodes</td>

</tr>

<tr>

<td>pgr</td>

<td>progesterone receptors (fmol/l)</td>

</tr>

<tr>

<td>er</td>

<td>estrogen receptors (fmol/l)</td>

</tr>

<tr>

<td>hormon</td>

<td>hormonal therapy, 0= no, 1= yes</td>

</tr>

<tr>

<td>rfstime</td>

<td>recurrence free survival time; days to first of recurrence, death or last follow-up</td>

</tr>

<tr>

<td>status</td>

<td>0= alive without recurrence, 1= recurrence or death</td>

</tr>

</tbody>

</table>

<h1>References</h1>

<p>Patrick Royston and Douglas Altman, External validation of a Cox prognostic model: principles and methods. BMC Medical Research Methodology 2013, 13:33</p></div></div></div>