HUMAN DEVELOPMENT INDEX USING BAYESIAN META-ANALYSIS AND MATERNAL MORTALITY RATIO WITH CLASSIC META-ANALYSIS

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The objective of this research was to quantitatively synthesize the information from the Maternal Mortality Ratio (MMR) for the years 1990, 1995, 2000, 2005 and 2008 using the Classic Meta-analysis, and the Human Development Index (HDI) for the year 2010 using the Bayesian Meta-analysis combining th...

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Detalles Bibliográficos
Autores: Kraenau Espinal, Erwin, Ponce Aruneri, María Estela
Formato: artículo
Fecha de Publicación:2011
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/9596
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/9596
Nivel de acceso:acceso abierto
Materia:MMR
HDI
Classic Meta-analysis
Bayesian Meta-analysis
Metaplot.
RMM
IDH
Metanálisis Clásico
Metanálisis Bayesiano
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spelling HUMAN DEVELOPMENT INDEX USING BAYESIAN META-ANALYSIS AND MATERNAL MORTALITY RATIO WITH CLASSIC META-ANALYSISÍNDICE DE DESARROLLO HUMANO MEDIANTE METANÁLISIS BAYESIANO y RAZÓN DE MORTALIDAD MATERNA CON METANÁLISIS CLÁSICOKraenau Espinal, ErwinPonce Aruneri, María EstelaMMRHDIClassic Meta-analysisBayesian Meta-analysisMetaplot.RMMIDHMetanálisis ClásicoMetanálisis BayesianoMetaplot.The objective of this research was to quantitatively synthesize the information from the Maternal Mortality Ratio (MMR) for the years 1990, 1995, 2000, 2005 and 2008 using the Classic Meta-analysis, and the Human Development Index (HDI) for the year 2010 using the Bayesian Meta-analysis combining the various investigations carried out in each country, the results obtained are shown for the regions of South America and Latin America (data used were published by the World Health Organization and United Nations Program for Development). The results for the HDI of South America and Latin America were 0.6971 and 0.6719, respectively. Additionally, the MMR for South America the 1990, 1995, 2000, 2005 and 2008 were 123, 101, 90.1,82.1 and 80.7, respectively, and MMR for Latin America at 117, 105,90.1 79.1 and 75.5, respectively. The heterogeneity of individual studies (by countries) is inherent in these measurements, which was detected using the Q test analytically and visually by Metaplot.El objetivo de la presente investigación fue sintetizar cuantitativamente la información de la Razón de la Mortalidad Materna (RMM) para los años 1990, 1995, 2000, 2005 Y 2008 aplicando el Metanálisis Clásico; y el Índice de Desarrollo Humano (IDH) para el año 2010 aplicando el Metanálisis Bayesiano, combinando las distintas investigaciones desarrolladas en cada país; los resultados obtenidos se muestran para las regiones de Sudamérica y Latinoamérica (los datos utilizados fueros publicados por la Organización Mundial de la Salud y el Programa de Naciones Unidas para el Desarrollo). Los resultados para el IDH de Sudamérica y Latinoamérica fueron 0.6971 y 0.6719, respectivamente. Adicionalmente, los RMM para Sudamérica los años 1990, 1995, 2000, 2005 Y 2008 fueron 123, 101, 90.1, 82.1 Y80.7, respectivamente, y las RMM para Latinoamérica fueron 117, 105,90.1 79.1 Y 75.5, respectivamente. La heterogeneidad de los estudios individuales (por países) es inherente a estas mediciones, la cual se detectó analíticamente utilizando la prueba Q y visualmente mediante el Metaplot.Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Matemáticas2011-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/959610.15381/pes.v14i2.9596Pesquimat; Vol. 14 No. 2 (2011)Pesquimat; Vol. 14 Núm. 2 (2011)1609-84391560-912X10.15381/pes.v14i2reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/9596/8410Derechos de autor 2011 Erwin Kraenau Espinal, María Estela Ponce Arunerihttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/95962020-03-06T17:29:07Z
dc.title.none.fl_str_mv HUMAN DEVELOPMENT INDEX USING BAYESIAN META-ANALYSIS AND MATERNAL MORTALITY RATIO WITH CLASSIC META-ANALYSIS
ÍNDICE DE DESARROLLO HUMANO MEDIANTE METANÁLISIS BAYESIANO y RAZÓN DE MORTALIDAD MATERNA CON METANÁLISIS CLÁSICO
title HUMAN DEVELOPMENT INDEX USING BAYESIAN META-ANALYSIS AND MATERNAL MORTALITY RATIO WITH CLASSIC META-ANALYSIS
spellingShingle HUMAN DEVELOPMENT INDEX USING BAYESIAN META-ANALYSIS AND MATERNAL MORTALITY RATIO WITH CLASSIC META-ANALYSIS
Kraenau Espinal, Erwin
MMR
HDI
Classic Meta-analysis
Bayesian Meta-analysis
Metaplot.
RMM
IDH
Metanálisis Clásico
Metanálisis Bayesiano
Metaplot.
title_short HUMAN DEVELOPMENT INDEX USING BAYESIAN META-ANALYSIS AND MATERNAL MORTALITY RATIO WITH CLASSIC META-ANALYSIS
title_full HUMAN DEVELOPMENT INDEX USING BAYESIAN META-ANALYSIS AND MATERNAL MORTALITY RATIO WITH CLASSIC META-ANALYSIS
title_fullStr HUMAN DEVELOPMENT INDEX USING BAYESIAN META-ANALYSIS AND MATERNAL MORTALITY RATIO WITH CLASSIC META-ANALYSIS
title_full_unstemmed HUMAN DEVELOPMENT INDEX USING BAYESIAN META-ANALYSIS AND MATERNAL MORTALITY RATIO WITH CLASSIC META-ANALYSIS
title_sort HUMAN DEVELOPMENT INDEX USING BAYESIAN META-ANALYSIS AND MATERNAL MORTALITY RATIO WITH CLASSIC META-ANALYSIS
dc.creator.none.fl_str_mv Kraenau Espinal, Erwin
Ponce Aruneri, María Estela
author Kraenau Espinal, Erwin
author_facet Kraenau Espinal, Erwin
Ponce Aruneri, María Estela
author_role author
author2 Ponce Aruneri, María Estela
author2_role author
dc.subject.none.fl_str_mv MMR
HDI
Classic Meta-analysis
Bayesian Meta-analysis
Metaplot.
RMM
IDH
Metanálisis Clásico
Metanálisis Bayesiano
Metaplot.
topic MMR
HDI
Classic Meta-analysis
Bayesian Meta-analysis
Metaplot.
RMM
IDH
Metanálisis Clásico
Metanálisis Bayesiano
Metaplot.
description The objective of this research was to quantitatively synthesize the information from the Maternal Mortality Ratio (MMR) for the years 1990, 1995, 2000, 2005 and 2008 using the Classic Meta-analysis, and the Human Development Index (HDI) for the year 2010 using the Bayesian Meta-analysis combining the various investigations carried out in each country, the results obtained are shown for the regions of South America and Latin America (data used were published by the World Health Organization and United Nations Program for Development). The results for the HDI of South America and Latin America were 0.6971 and 0.6719, respectively. Additionally, the MMR for South America the 1990, 1995, 2000, 2005 and 2008 were 123, 101, 90.1,82.1 and 80.7, respectively, and MMR for Latin America at 117, 105,90.1 79.1 and 75.5, respectively. The heterogeneity of individual studies (by countries) is inherent in these measurements, which was detected using the Q test analytically and visually by Metaplot.
publishDate 2011
dc.date.none.fl_str_mv 2011-12-30
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/9596
10.15381/pes.v14i2.9596
url https://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/9596
identifier_str_mv 10.15381/pes.v14i2.9596
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/9596/8410
dc.rights.none.fl_str_mv Derechos de autor 2011 Erwin Kraenau Espinal, María Estela Ponce Aruneri
https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2011 Erwin Kraenau Espinal, María Estela Ponce Aruneri
https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Matemáticas
publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Matemáticas
dc.source.none.fl_str_mv Pesquimat; Vol. 14 No. 2 (2011)
Pesquimat; Vol. 14 Núm. 2 (2011)
1609-8439
1560-912X
10.15381/pes.v14i2
reponame:Revistas - Universidad Nacional Mayor de San Marcos
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
reponame_str Revistas - Universidad Nacional Mayor de San Marcos
collection Revistas - Universidad Nacional Mayor de San Marcos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 13.836569
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