Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidade Estadual de Maringá
2012
|
| Subjects: | |
| Online Access: | https://www.redalyc.org/articulo.oa?id=307226825015 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Viability of using multidimensional graphics in epidemiological data analysis: case study with respiratory diseases Elisa Norberto Ferreira Santos Marcelo Ângelo Cirillo Medicina plot covariance matrix Clusters of variables The statistical methodology to be used in epidemiological data analysis is extremely important for obtaining reliable and plausible results that can be interpreted in the epidemiological context. In order to carry out a case study about the incidence of the main respiratory diseases in some cities with different climatic seasons, the present work aimed at studying the viability for applying the multidimensional graphic technique known as "h-plot" to identify the main variables that resulted in a higher contribution to the data dispersal. In accordance with the results obtained and discussed, we state that the h-plot graphics are viable to be applied as an alternative method as regards to the identification and collection of the variables. 2012 artículo científico 1679-9291 https://www.redalyc.org/articulo.oa?id=307226825015 en http://www.redalyc.org/revista.oa?id=3072 Acta Scientiarum. Health Sciences application/pdf Universidade Estadual de Maringá Acta Scientiarum. Health Sciences (Brasil) Vol.34