<?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>1983-1730</journal-id>
<journal-title><![CDATA[Ensino em Re-Vista]]></journal-title>
<abbrev-journal-title><![CDATA[Ensino em Re-Vista]]></abbrev-journal-title>
<issn>1983-1730</issn>
<publisher>
<publisher-name><![CDATA[Universidade Federal de Uberlândia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1983-17302023000100139</article-id>
<article-id pub-id-type="doi">10.14393/er-v30a2023-41</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Formação estatística nas pós-graduações stricto sensu em Epidemiologia, Saúde Coletiva e Saúde Pública das universidades públicas brasileiras]]></article-title>
<article-title xml:lang="es"><![CDATA[Formación estadística en programas de posgrado en Epidemiología, Salud Colectiva y Salud Pública en universidades públicas brasileñas]]></article-title>
<article-title xml:lang="en"><![CDATA[Statistical training in stricto sensu postgraduate courses in Epidemiology, Collective Health and Public Health at Brazilian public universities]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Neves]]></surname>
<given-names><![CDATA[Vanêssa Brito Fernandes]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Giordani]]></surname>
<given-names><![CDATA[Natalia Elis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Silva]]></surname>
<given-names><![CDATA[Laís Alves]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Nunes]]></surname>
<given-names><![CDATA[Luciana Neves]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade Estadual do Sudoeste da Bahia  ]]></institution>
<addr-line><![CDATA[Vitória da Conquista BA]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade Federal do Rio Grande do Sul  ]]></institution>
<addr-line><![CDATA[Porto Alegre RS]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidade do Estado do Rio de Janeiro  ]]></institution>
<addr-line><![CDATA[Rio de Janeiro RJ]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidade Federal do Rio Grande do Sul  ]]></institution>
<addr-line><![CDATA[Porto Alegre RS]]></addr-line>
<country>Brasil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<volume>30</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://educa.fcc.org.br/scielo.php?script=sci_arttext&amp;pid=S1983-17302023000100139&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://educa.fcc.org.br/scielo.php?script=sci_abstract&amp;pid=S1983-17302023000100139&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://educa.fcc.org.br/scielo.php?script=sci_pdf&amp;pid=S1983-17302023000100139&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[RESUMO Este trabalho tem como objetivo traçar um panorama da formação em Estatística dos cursos de Pós-Graduação Stricto Sensu da área de Saúde Coletiva. No Brasil, são 32 universidades públicas que oferecem pós-graduações na área, sendo 22 (68,75%) Federais e 10 (31,25%) Estaduais e Municipais. Realizou-se análise documental de 391 ementas de disciplinas de Estatística. Dessas, 13,25% foram classificadas como nível básico em estatística, 16,62% como intermediárias e 70,13% como avançadas. Observou-se que a Região Norte é a que tem menos programas de Pós-Graduação na área, indicando, portanto, a necessidade de mais investimento. As ementas envolvem conceitos complexos de Estatística e indicam uso intenso de recursos computacionais. Portanto, é interessante que os pós-graduandos tenham elevados graus de letramento estatístico e pensamento computacional para seu bom desempenho. Parece que os currículos dos PPG em Epidemiologia, Saúde Coletiva e Saúde Pública estão promovendo um conhecimento que favorece o desenvolvimento de pensamento estatístico abrangente e o desenvolvimento de autonomia para aplicação e interpretação dos conceitos estatísticos pelos pós-graduados.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Este trabajo tiene como objetivo brindar una visión general de la formación en Estadística en los cursos de Postgrado Stricto Sensu en el área de Salud Pública. En Brasil, hay 32 universidades públicas que ofrecen posgrados en el área, 22 (68,75%) federales y 10 (31,25%) estatales y municipales. Se realizó análisis documental de 391 planes de estudio de asignaturas de Estadística. De ellos, el 13,25% se clasificaron como nivel básico en estadística, el 16,62% como avanzado y el 70,13% como avanzado. Cabe señalar que la Región Norte tiene menos programas de Postgrado en el área, por lo que se reduce la necesidad de mayor inversión. Los programas de estudios involucran conceptos estadísticos complejos e indican un uso intenso de recursos computacionales. Por lo tanto, es interesante que los estudiantes de posgrado tengan altos niveles de conocimientos estadísticos y de pensamiento computacional para tener un buen desempeño. Parece que los planes de estudio del PPG en Epidemiología, Salud Pública y Salud Pública están promoviendo conocimientos que favorecen el desarrollo del pensamiento estadístico integral y el desarrollo de la autonomía para la aplicación e interpretación de conceptos estadísticos por parte de los posgraduados.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT This work aims to provide an overview of training in Statistics in Stricto Sensu Postgraduate courses in the area of Collective Health. In Brazil, there are 32 public universities that offer postgraduate degrees in the area, 22 (68.75%) Federal and 10 (31.25%) State and Municipal. The document analysis was carried out on 391 syllabuses of Statistical subjects. Of these, 13.25% were classified as basic, 16.62% as intermediate and 70.13% as advanced. It was observed that the North Region has the fewest Postgraduate programs in the area, therefore indicating the need for more investment. The syllabi involve complex Statistical concepts and indicate intense use of computational resources. Therefore, it is interesting that postgraduate students have high levels of statistical literacy and computational thinking to ensure good performance. It seems that the PPG curricula in Epidemiology, Collective Health and Public Health are promoting knowledge that favors the development of comprehensive statistical thinking and the development of autonomy for the application and interpretation of statistical concepts by postgraduates.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[Currículo]]></kwd>
<kwd lng="pt"><![CDATA[Pós-Graduação]]></kwd>
<kwd lng="pt"><![CDATA[Ensino Superior]]></kwd>
<kwd lng="pt"><![CDATA[Estatística]]></kwd>
<kwd lng="es"><![CDATA[Plan de estúdios]]></kwd>
<kwd lng="es"><![CDATA[Posgraduación]]></kwd>
<kwd lng="es"><![CDATA[Enseñanza superior]]></kwd>
<kwd lng="es"><![CDATA[Estadística]]></kwd>
<kwd lng="en"><![CDATA[Curriculum]]></kwd>
<kwd lng="en"><![CDATA[Postgraduate studies]]></kwd>
<kwd lng="en"><![CDATA[University education]]></kwd>
<kwd lng="en"><![CDATA[Statistic]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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