Network analysis: a multivariate statistical approach for health science research
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Geriatrics, Gerontology and Aging (Online) |
Texto Completo: | https://ggaging.com/details/1592 |
Resumo: | <p>Network analysis is a graphical statistical technique that allows rapid visualization and interpretation of associations between multiple variables. There are still few theoretical studies on this method, especially in the areas of geriatrics and gerontology research, which cover the study of different social, clinical, or physical and mental health variables. The objectives of this study were to present the main theoretical aspects of network analysis and demonstrate its applicability by analyzing studies that used this technique, offering an accessible language for all levels of knowledge in statistics. The main characteristics of the graphs, basic theoretical concepts, and scientific articles that used networks were demonstrated. This methodological study can help the reader to understand this analytical method, which is still little explored in national research. There is a scarcity of research on this subject in the areas of geriatrics and gerontology; however, technological advances, the availability of statistical programs with new data analysis resources, and the dissemination of information are relevant factors for the expansion of knowledge and the use of network analysis in this context.</p> |
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Network analysis: a multivariate statistical approach for health science researchstatistical analysis biostatistics epidemiological studies methods geriatrics.<p>Network analysis is a graphical statistical technique that allows rapid visualization and interpretation of associations between multiple variables. There are still few theoretical studies on this method, especially in the areas of geriatrics and gerontology research, which cover the study of different social, clinical, or physical and mental health variables. The objectives of this study were to present the main theoretical aspects of network analysis and demonstrate its applicability by analyzing studies that used this technique, offering an accessible language for all levels of knowledge in statistics. The main characteristics of the graphs, basic theoretical concepts, and scientific articles that used networks were demonstrated. This methodological study can help the reader to understand this analytical method, which is still little explored in national research. There is a scarcity of research on this subject in the areas of geriatrics and gerontology; however, technological advances, the availability of statistical programs with new data analysis resources, and the dissemination of information are relevant factors for the expansion of knowledge and the use of network analysis in this context.</p>Sociedade Brasileira de Geriatria e Gerontologia2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttps://ggaging.com/details/1592Geriatrics, Gerontology and Aging v.14 n.1 2020reponame:Geriatrics, Gerontology and Aging (Online)instname:Sociedade Brasileira de Geriatria e Gerontologiainstacron:SBGG10.5327/Z2447-212320201900073info:eu-repo/semantics/openAccess Leme,Daniel Eduardo da Cunha Alves,Erika Valeska da Costa Lemos,Vinícius do Carmo Oliveira Fattori,Andréeng2020-01-01T00:00:00Zoai:ggaging.com:1592Revistahttp://sbgg.org.br/publicacoes-cientificas/revista-geriatria-gerontologia/ONGhttps://old.scielo.br/oai/scielo-oai.phpexecutiveditors@ggaging.com||nacional@sbgg.org.br2447-21232447-2115opendoar:2020-01-01T00:00Geriatrics, Gerontology and Aging (Online) - Sociedade Brasileira de Geriatria e Gerontologiafalse |
dc.title.none.fl_str_mv |
Network analysis: a multivariate statistical approach for health science research |
title |
Network analysis: a multivariate statistical approach for health science research |
spellingShingle |
Network analysis: a multivariate statistical approach for health science research Leme,Daniel Eduardo da Cunha statistical analysis biostatistics epidemiological studies methods geriatrics. |
title_short |
Network analysis: a multivariate statistical approach for health science research |
title_full |
Network analysis: a multivariate statistical approach for health science research |
title_fullStr |
Network analysis: a multivariate statistical approach for health science research |
title_full_unstemmed |
Network analysis: a multivariate statistical approach for health science research |
title_sort |
Network analysis: a multivariate statistical approach for health science research |
author |
Leme,Daniel Eduardo da Cunha |
author_facet |
Leme,Daniel Eduardo da Cunha Alves,Erika Valeska da Costa Lemos,Vinícius do Carmo Oliveira Fattori,André |
author_role |
author |
author2 |
Alves,Erika Valeska da Costa Lemos,Vinícius do Carmo Oliveira Fattori,André |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Leme,Daniel Eduardo da Cunha Alves,Erika Valeska da Costa Lemos,Vinícius do Carmo Oliveira Fattori,André |
dc.subject.por.fl_str_mv |
statistical analysis biostatistics epidemiological studies methods geriatrics. |
topic |
statistical analysis biostatistics epidemiological studies methods geriatrics. |
description |
<p>Network analysis is a graphical statistical technique that allows rapid visualization and interpretation of associations between multiple variables. There are still few theoretical studies on this method, especially in the areas of geriatrics and gerontology research, which cover the study of different social, clinical, or physical and mental health variables. The objectives of this study were to present the main theoretical aspects of network analysis and demonstrate its applicability by analyzing studies that used this technique, offering an accessible language for all levels of knowledge in statistics. The main characteristics of the graphs, basic theoretical concepts, and scientific articles that used networks were demonstrated. This methodological study can help the reader to understand this analytical method, which is still little explored in national research. There is a scarcity of research on this subject in the areas of geriatrics and gerontology; however, technological advances, the availability of statistical programs with new data analysis resources, and the dissemination of information are relevant factors for the expansion of knowledge and the use of network analysis in this context.</p> |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ggaging.com/details/1592 |
url |
https://ggaging.com/details/1592 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5327/Z2447-212320201900073 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Geriatria e Gerontologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Geriatria e Gerontologia |
dc.source.none.fl_str_mv |
Geriatrics, Gerontology and Aging v.14 n.1 2020 reponame:Geriatrics, Gerontology and Aging (Online) instname:Sociedade Brasileira de Geriatria e Gerontologia instacron:SBGG |
instname_str |
Sociedade Brasileira de Geriatria e Gerontologia |
instacron_str |
SBGG |
institution |
SBGG |
reponame_str |
Geriatrics, Gerontology and Aging (Online) |
collection |
Geriatrics, Gerontology and Aging (Online) |
repository.name.fl_str_mv |
Geriatrics, Gerontology and Aging (Online) - Sociedade Brasileira de Geriatria e Gerontologia |
repository.mail.fl_str_mv |
executiveditors@ggaging.com||nacional@sbgg.org.br |
_version_ |
1797174502519472128 |