Network analysis: a multivariate statistical approach for health science research

Geriatrics, Gerontology and Aging

Endereço:
Avenida Nossa Senhora de Copacabana,500 - 609 - Copacabana
Rio de Janeiro / RJ
22020001
Site: http://ggaging.com
Telefone: (21) 2285-8115
ISSN: 2447-2123
Editor Chefe: Roberto Alves Lourenço
Início Publicação: 10/10/2007
Periodicidade: Trimestral
Área de Estudo: Educação física, Área de Estudo: Enfermagem, Área de Estudo: Farmácia, Área de Estudo: Fisioterapia e terapia ocupacional, Área de Estudo: Fonoaudiologia, Área de Estudo: Medicina, Área de Estudo: Nutrição, Área de Estudo: Odontologia, Área de Estudo: Saúde coletiva, Área de Estudo: Serviço social, Área de Estudo: Multidisciplinar

Network analysis: a multivariate statistical approach for health science research

Ano: 2020 | Volume: 14 | Número: 1
Autores: Daniel Eduardo da Cunha Lemea; Erika Valeska da Costa Alvesa; Vinícius do Carmo Oliveira Lemosb; André Fattoria
Autor Correspondente: D.E.C.Leme | [email protected]

Palavras-chave: statistical analysis; biostatistics; epidemiological studies; methods; geriatrics.

Resumos Cadastrados

Resumo Inglês:

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