<?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>1028-4818</journal-id>
<journal-title><![CDATA[Multimed]]></journal-title>
<abbrev-journal-title><![CDATA[Multimed]]></abbrev-journal-title>
<issn>1028-4818</issn>
<publisher>
<publisher-name><![CDATA[Centro Provincial de Información de Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1028-48182022000600008</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Guía práctica para seleccionar una prueba estadística a aplicar en una investigación biomédica]]></article-title>
<article-title xml:lang="en"><![CDATA[Practical guide to select a statistical test to apply in biomedical research]]></article-title>
<article-title xml:lang="pt"><![CDATA[Guia prático para selecionar um teste estatístico a ser aplicado na pesquisa biomédica]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Boza Torres]]></surname>
<given-names><![CDATA[Pedro Emilio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Liriano Leyva]]></surname>
<given-names><![CDATA[Oslaidis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez Sánchez]]></surname>
<given-names><![CDATA[Yaderine]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fonseca González]]></surname>
<given-names><![CDATA[Ramón Luis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Ciencias Médicas de Granma Facultad de Ciencias Médicas Bayamo ]]></institution>
<addr-line><![CDATA[ Granma]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<volume>26</volume>
<numero>6</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1028-48182022000600008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1028-48182022000600008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1028-48182022000600008&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción:  el análisis estadístico se divide en dos componentes: el análisis descriptivo y el análisis inferencial, las pruebas estadísticas, se fraccionan en paramétricas y no paramétricas. Sin embargo, la elección de una prueba estadística apropiada, representa un reto.  Objetivo:  proponer una herramienta, que sirva para seleccionar una prueba estadística a aquellos no expertos en bioestadística, para las investigaciones biomédicas.  Métodos:  se realizó un estudio tipo revisión bibliográfica narrativa. Se partió de una revisión de la literatura sobre las principales pruebas estadísticas que se utilizan en la actualidad, disponibles en la literatura de las bases de datosbibliográficas como Pubmed/Medline, SciELO, SCOPUS, Springer, Web of Science, EBSCOhost entre otras. Dicha herramienta fue validada por criterio de expertos.  Resultados: se diseñó un esquema, el que puede utilizarse de dos maneras: la primera consiste seguir el esquema hasta descubrir cuál es la técnica estadística apropiada para sus datos y la segunda: siguiendo el esquema hacia atrás, determinar si la prueba fue una elección lógica para los datos analizados. Para usarla, debe identificar variables dependientes e independientes, después llegará a una medida de síntesis o a una estimación puntual útil para sus datos, que irá seguida de una clasificación general de las pruebas estadísticas.  Conclusiones:  la guía propuesta es un intento de aportar una guía útil para seleccionar una técnica estadística para el análisis de datos en las investigaciones biomédicas.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction:  statistical analysis is divided into two components: descriptive analysis and inferential analysis, statistical tests, are divided into parametric and nonparametric. Choosing an appropriate statistical test, however, is challenging.  Objective:  to propose a tool, which serves to select a statistical test to those not experts in biostatistics, for biomedical research.  Methods: a narrative literature review study was conducted. It was based on a review of the literature on the main statistical tests currently used, available in the literature of bibliographic databases such as Pubmed/Medline, SciELO, SCOPUS, Springer, Web of Science, EBSCOhost among others. This tool was validated by expert criteria.  Results:  a scheme was designed, which can be used in two ways: the first is to follow the scheme until discovering which is the appropriate statistical technique for your data and the second: following the scheme backwards, determine if the test was a logical choice for the analyzed data. To use it, you must identify dependent and independent variables, then you will arrive at a synthesis measure or a useful point estimate for your data, which will be followed by a general classification of statistical tests.  Conclusions:  the proposed guideline is an attempt to provide a useful guide to select a statistical technique for data analysis in biomedical research.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[RESUMO  Introdução:  a análise estatística é dividida em dois componentes: análise descritiva e análise inferencial, testes estatísticos, são divididos em paramétricos e não paramétricos. Escolher um teste estatístico apropriado, no entanto, é um desafio.  Objetivo: propor uma ferramenta, que sirva para selecionar um teste estatístico para aqueles que nãosão especialistas em bioestatística, para pesquisa biomédica.  Métodos: realizou-se um estudo de revisão narrativa da literatura. Baseou-se em uma revisão da literatura sobre os principais testes estatísticos atualmente utilizados, disponíveis na literatura de bases de dados bibliográficas como Pubmed/Medline, SciELO, SCOPUS, Springer, Web of Science, EBSCOhost entre outras. Esse instrumento foi validado por critérios de especialistas.  Resultados: foi elaborado um esquema, que pode ser utilizado de duas formas: a primeira é seguir o esquema até descobrir qual é a técnica estatística apropriada para seus dados e a segunda: seguindo o esquema de trás para frente, determinar se o teste foi uma escolha lógica para os dados analisados. Para usá-lo, você deve identificar variáveis dependentes e independentes, então você chegará a uma medida de síntese ou uma estimativa pontual útil para seus dados, que será seguida por uma classificação geral de testes estatísticos.  Conclusões: a diretriz proposta é uma tentativa de fornecer um guia útil para selecionar uma técnica estatística para análise de dados em pesquisa biomédica.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Análisis de datos]]></kwd>
<kwd lng="es"><![CDATA[Bioestadística]]></kwd>
<kwd lng="es"><![CDATA[Prueba estadística]]></kwd>
<kwd lng="es"><![CDATA[Gestión de la información]]></kwd>
<kwd lng="en"><![CDATA[Data analysis]]></kwd>
<kwd lng="en"><![CDATA[Biostatistics]]></kwd>
<kwd lng="en"><![CDATA[Statistical test]]></kwd>
<kwd lng="en"><![CDATA[Information management]]></kwd>
<kwd lng="pt"><![CDATA[Análise dos dados]]></kwd>
<kwd lng="pt"><![CDATA[Bioestatística]]></kwd>
<kwd lng="pt"><![CDATA[Teste estatístico]]></kwd>
<kwd lng="pt"><![CDATA[Gestão da informação]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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