Overview of logistic regression model analysis and application / 中华预防医学杂志
Chinese Journal of Preventive Medicine
; (12): 955-960, 2019.
Artigo
em Chinês
| WPRIM (Pacífico Ocidental)
| ID: wpr-798040
Biblioteca responsável:
WPRO
ABSTRACT
Logistic regression is a kind of multiple regression method to analyze the relationship between a binary outcome or categorical outcome and multiple influencing factors, including multiple logistic regression, conditional logistic regression, polytomous logistic regression, ordinal logistic regression and adjacent categorical logistic regression. This paper illustrates the basic principle, independent variable selection and assignment, applied condition, model evaluation and diagnosis for multiple logistic regression model. Moreover, the principle and application for polytomous logistic regression and ordinal logistic regression models were also introduced. By providing SAS codes and detailed explanations of the result for an example of obesity, readers could be able to better understand logistic regression model, and apply this method correctly to their research and daily work, so as to improve their capacity of the data analysis.
Texto completo:
Disponível
Base de dados:
WPRIM (Pacífico Ocidental)
Tipo de estudo:
Estudo prognóstico
/
Fatores de risco
Idioma:
Chinês
Revista:
Chinese Journal of Preventive Medicine
Ano de publicação:
2019
Tipo de documento:
Artigo