<?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>0121-0793</journal-id>
<journal-title><![CDATA[Iatreia]]></journal-title>
<abbrev-journal-title><![CDATA[Iatreia]]></abbrev-journal-title>
<issn>0121-0793</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Antioquia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0121-07932016000300373</article-id>
<article-id pub-id-type="doi">10.17533/udea.iatreia.v29n3a12</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Ronda clínica y epidemiológica. Series de tiempo]]></article-title>
<article-title xml:lang="en"><![CDATA[Clinical and epidemiological rounds. Time series]]></article-title>
<article-title xml:lang="pt"><![CDATA[Ronda clínica e epidemiológica. Séries de tempo]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[León-Álvarez]]></surname>
<given-names><![CDATA[Alba Luz]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Betancur-Gómez]]></surname>
<given-names><![CDATA[Jorge Iván]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jaimes-Barragán]]></surname>
<given-names><![CDATA[Fabián]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Grisales-Romero]]></surname>
<given-names><![CDATA[Hugo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Antioquia  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Administrador de empresas  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Antioquia  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad de Antioquia  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>07</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>07</month>
<year>2016</year>
</pub-date>
<volume>29</volume>
<numero>3</numero>
<fpage>373</fpage>
<lpage>381</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0121-07932016000300373&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0121-07932016000300373&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0121-07932016000300373&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN El análisis de series de tiempo es una técnica que involucra el estudio de individuos o grupos observados en momentos sucesivos en el tiempo. Este tipo de análisis permite estudiar la relación potencialmente causal entre diferentes variables que cambian en el tiempo y que se relacionan entre sí. Es la técnica más importante para hacer inferencias acerca del futuro, predicción, con base en lo que ha ocurrido en el pasado y se aplica en diferentes disciplinas del conocimiento. Se exponen los diferentes componentes, la técnica de análisis y algunos ejemplos específicos en el área de la salud.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[SUMMARY Analysis of time series is a technique that implicates the study of individuals or groups observed in successive moments in time. This type of analysis allows the study of potential causal relationships between different variables that change over time and relate to each other. It is the most important technique to make inferences about the future, predicting, on the basis or what has happened in the past and it is applied in different disciplines of knowledge. Here we discuss different components of time series, the analysis technique and specific examples in health research.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[RESUMO A análise de séries de tempo é uma técnica que envolve o estudo de indivíduos ou grupos observados em momentos sucessivos no tempo. Este tipo de análise permite estudar a relação potencialmente causal entre diferentes variáveis que mudam no tempo que se relacionam entre si. É a técnica mais importante para fazer inferências sobre o futuro, predição, com base no que há acontecido no passado e se aplica em diferentes disciplinas do conhecimento. Se expõe os diferentes componentes, a técnica de análise e alguns exemplos específicos na área da saúde.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Autorregresivo integrado de medias móviles]]></kwd>
<kwd lng="es"><![CDATA[Nivel]]></kwd>
<kwd lng="es"><![CDATA[Series de tiempo]]></kwd>
<kwd lng="es"><![CDATA[Tendencia]]></kwd>
<kwd lng="en"><![CDATA[Autoregressive integrated moving average]]></kwd>
<kwd lng="en"><![CDATA[Level]]></kwd>
<kwd lng="en"><![CDATA[Time series]]></kwd>
<kwd lng="en"><![CDATA[Trend]]></kwd>
<kwd lng="pt"><![CDATA[Autorregressivo Integrado de Médias Móveis]]></kwd>
<kwd lng="pt"><![CDATA[Nível]]></kwd>
<kwd lng="pt"><![CDATA[Séries de Tempo]]></kwd>
<kwd lng="pt"><![CDATA[Tendência]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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