<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0120-1751</journal-id>
<journal-title><![CDATA[Revista Colombiana de Estadística]]></journal-title>
<abbrev-journal-title><![CDATA[Rev.Colomb.Estad.]]></abbrev-journal-title>
<issn>0120-1751</issn>
<publisher>
<publisher-name><![CDATA[Departamento de Estadística - Universidad Nacional de Colombia.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-17512005000200010</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis de supervivencia de pacientes con diálisis peritoneal]]></article-title>
<article-title xml:lang="en"><![CDATA[Survival Data Analysis of Patients with Peritoneal Dialysis]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[BORGES P]]></surname>
<given-names><![CDATA[RAFAEL EDUARDO]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad de Los Andes Facultad de Ciencias Económicas y Sociales Escuela de Estadística]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Venezuela</country>
</aff>
<pub-date pub-type="pub">
<day>05</day>
<month>12</month>
<year>2005</year>
</pub-date>
<pub-date pub-type="epub">
<day>05</day>
<month>12</month>
<year>2005</year>
</pub-date>
<volume>28</volume>
<numero>2</numero>
<fpage>243</fpage>
<lpage>259</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-17512005000200010&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-17512005000200010&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-17512005000200010&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Se realiza un análisis de supervivencia de pacientes que acudían al Servicio de Diálisis Peritoneal del Hospital Clínico Universitario de Caracas, Venezuela, entre los años 1980 y 1997, utilizando la muerte como evento de interés. El análisis incluye: estimaciones de las funciones de supervivencia mediante el estimador de Kaplan-Meier, obtención del mejor modelo semiparamétrico de riesgos proporcionales (modelo de Cox), verificación de los supuestos y análisis de residuos. El modelo de Cox incluye diabetes, edad y el índice de Quetellet como covariables.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[A survival analysis in patients that assisted to the peritoneal dialysis service of the Hospital Clínico Universitario de Caracas, Venezuela, between 1980 y 1997, using death as event of interest is presented. Estimation of the survival function by the Kaplan-Meier estimator, Semi-parametric proportional hazard models (Cox models), verification of the assumptions of the models and residual analysis are included. In the Cox model, diabetes, age and Quetellet" s index are used as covariates.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Análisis de supervivencia]]></kwd>
<kwd lng="es"><![CDATA[estimador de Kaplan y Meier]]></kwd>
<kwd lng="es"><![CDATA[modelo de riesgos proporcionales (modelo de Cox)]]></kwd>
<kwd lng="es"><![CDATA[diálisis peritoneal]]></kwd>
<kwd lng="en"><![CDATA[Survival Analysis]]></kwd>
<kwd lng="en"><![CDATA[Kaplan-Meier estimator]]></kwd>
<kwd lng="en"><![CDATA[proportional hazard model (Cox model)]]></kwd>
<kwd lng="en"><![CDATA[continuous ambulatory peritoneal dialysis]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[   <font size="2" face="verdana">        <p>    <center><b><font size="4">An&aacute;lisis de supervivencia de pacientes con di&aacute;lisis  peritoneal</font></b></center></p>        <p>    <center><b><font size="3">Survival Data Analysis of Patients with Peritoneal Dialysis</font></b></center></p>        <p>    <center>RAFAEL EDUARDO BORGES P.<sup>1</sup></center></p>        <p><sup>1</sup>Profesor Agregado, Escuela de Estad&iacute;stica, Facultad de Ciencias Econ&oacute;micas y Sociales,  Universidad de Los Andes, M&eacute;rida 5101, Venezuela. E-mail: <a href="mailto:borgesr@ula.ve">borgesr@ula.ve</a></p>    <hr size="1">        <p>    <center><b>Resumen</b></center></p>        ]]></body>
<body><![CDATA[<p>Se realiza un an&aacute;lisis de supervivencia de pacientes que acud&iacute;an al Servicio  de Di&aacute;lisis Peritoneal del Hospital Cl&iacute;nico Universitario de Caracas,  Venezuela, entre los a&ntilde;os 1980 y 1997, utilizando la muerte como evento de  inter&eacute;s. El an&aacute;lisis incluye: estimaciones de las funciones de supervivencia  mediante el estimador de Kaplan-Meier, obtenci&oacute;n del mejor modelo semiparam  &eacute;trico de riesgos proporcionales (modelo de Cox), verificaci&oacute;n de los  supuestos y an&aacute;lisis de residuos. El modelo de Cox incluye diabetes, edad y  el &iacute;ndice de Quetellet como covariables.</p>        <p><b><i>Palabras Clave:</i></b> An&aacute;lisis de supervivencia, estimador de Kaplan y Meier,  modelo de riesgos proporcionales (modelo de Cox), di&aacute;lisis peritoneal.</p>    <hr size="1">        <p>    <center><b>Abstract</b></center></p>        <p>A survival analysis in patients that assisted to the peritoneal dialysis service  of <i>the Hospital Cl&iacute;nico Universitario de Caracas</i>, Venezuela, between 1980 y  1997, using death as event of interest is presented. Estimation of the survival  function by the Kaplan-Meier estimator, Semi-parametric proportional  hazard models (Cox models), verification of the assumptions of the models  and residual analysis are included. In the Cox model, diabetes, age and Quetellet&quot;s  index are used as covariates.</p>        <p><b><i>Keywords:</i></b> Survival Analysis, Kaplan-Meier estimator, proportional hazard  model (Cox model), continuous ambulatory peritoneal dialysis.</p>    <hr size="1">        <p>Texto completo disponible en <a href="pdf/rce/v28n2/v28n2a10.pdf">PDF</a></p>    <hr size="1">        <p><b><font size="3">Referencias</font></b></p>        <!-- ref --><p>1. Andersen, P., Borgan, O., Gill, R. &amp; Keiding, N. (1993), <i>Statistical Models Based  on Counting Processes</i>, Springer-Verlag, N.Y.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000021&pid=S0120-1751200500020001000001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>2. Borges, R. 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