Application of spline-based Cox regression on analyzing data from follow-up studies / 中华流行病学杂志
Chinese Journal of Epidemiology
; (12): 969-972, 2012.
Article
en Zh
| WPRIM
| ID: wpr-289601
Biblioteca responsable:
WPRO
ABSTRACT
With R,this study involved the application of the spline- based Cox regression to analyze data related to follow-up studies when the two basic assunptions of Cox proportional hazards regression were not satisfactory.Results showed that most of the continuous covariatcs contributed nonlincarly to mortality risk while the effects of three covariates were timc- depcndent.After considering multiple covariatcs in spline-based Cox regression,when the ankle brachial index (ABI) decreased by 0.1,the hazard ratio (HR) for all-cause death was 1.071.The spline-based Cox regression method could be applied to analyze the data related to follow-up studies when the assumptions of Cox proportional hazards regression were violatcd.
Texto completo:
1
Base de datos:
WPRIM
Tipo de estudio:
Observational_studies
/
Prognostic_studies
Idioma:
Zh
Revista:
Chinese Journal of Epidemiology
Año:
2012
Tipo del documento:
Article