Uso de regressão logística para identificar os fatores de risco associados à ocorrência de anomalias congênitas em recém-nascidos

The logistic regression models have been extensively applied in several areas of knowledge, particularly in the area of health. The condition of studying binary response variables in terms of a set of explanatory factors have become increasingly common in epidemiological studies. Thus, this study aims to use a logistic regression model to investigate the risk factors associated with the occurrence of congenital malformation in children from a hospital in João Pessoa - PB. The results showed that age, mother's education, the use of corticosteroids during pregnancy, type of childbirth and APGAR measures 1 and 5 minutes were associated with the probability of birth of children with congenital abnormality. Furthermore, it was found that the adjusted model could correctly classify over 93% of the cases examined.

Grantor

Estatística

Year dc:date.issued

2014

Author dc:creator

• Souza, Lidia Dayse Araujo de

• Regressão logística
• Modelo de regressão
• Logistic regression
• Regression model
• Malformação congênita
• Congenital malformation

Language dc:language.iso

pt

Repository record dc:identifier.uri

https://repositorio.ufpb.br/jspui/handle/123456789/823

OAI identifier oai:identifier

oai:repositorio.ufpb.br:123456789/823