[An overview of multiple linear regression model and its application].
Zhonghua Yu Fang Yi Xue Za Zhi
; 53(6): 653-656, 2019 Jun 06.
Article
em Zh
| MEDLINE
| ID: mdl-31177767
ABSTRACT
Multiple Linear Regression (MLR) is a generalization of simple linear regression and is one of the commonly used models in multivariate statistical analysis. This article introduces the MLR model from the perspective of practical application. Four parts, including basic principle, application examples, the application condition and diagnosis, and the extension of the model, are sequentially illustrated in this article. Particularly, in the last part, alternative methods of the model are introduced when the application condition of the model is not met. We sincerely hope that this article could make our audiences have a better understanding of the MLR model in order to improve the efficiency of data utilization and statistical analysis by correctly performing this model in their research.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Estudos Epidemiológicos
Tipo de estudo:
Observational_studies
/
Prognostic_studies
Idioma:
Zh
Revista:
Zhonghua Yu Fang Yi Xue Za Zhi
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
China