Introduction of reduced rank regression and development of a user-written Stata package / 中华流行病学杂志
Chinese Journal of Epidemiology
;
(12): 403-408, 2022.
Artículo
en Chino
| WPRIM
| ID: wpr-935403
ABSTRACT
Reduced rank regression is an extended multivariate linear regression model with the function of dimension reduction. It has been more and more widely used in nutritional epidemiology research to understand people's dietary patterns in recent years. However, there has been no existing Stata package or command to implement reduced rank regression independently. Therefore, we developed a new user-written package named "rrr" for its implementation in Stata. This paper summarizes the methodology of reduced rank regression, the development and functions of the Stata rrr package and its application in the China Kadoorie Biobank dataset, with the aim of facilitating the future wide use of this statistical method in epidemiology and public health research.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
China
/
Salud Pública
/
Análisis de Regresión
/
Modelos Estadísticos
Tipo de estudio:
Estudio diagnóstico
/
Estudio pronóstico
/
Factores de riesgo
Límite:
Humanos
País/Región como asunto:
Asia
Idioma:
Chino
Revista:
Chinese Journal of Epidemiology
Año:
2022
Tipo del documento:
Artículo
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