Progress in research on redistribution methods for garbage codes in causes of death data / 中华流行病学杂志
Chinese Journal of Epidemiology
;
(12): 784-788, 2022.
Artículo
en Chino
| WPRIM
| ID: wpr-935459
ABSTRACT
The existence of garbage codes in death cause surveillance data sets could influence the accuracy of the death cause statistics, and subsequently affect the precision and effectiveness of public health policy making. International and domestic researchers have studied the characteristics of garbage codes in various death cause data sets from different countries or regions in the world. They proposed several approaches for redistributing garbage codes, such as expert consultancy, fixed proportional reassignment, using the information about death cause chain, building statistical models, and so on. This paper summarizes and compares the principles, applications and limitation of application scenarios of currently common methods for garbage code redistribution in order to provide some references for improving the accuracy and usefulness of the death cause data in China.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Política Pública
/
Recolección de Datos
/
Causalidad
/
Modelos Estadísticos
/
Causas de Muerte
Tipo de estudio:
Estudio de etiología
/
Estudio pronóstico
/
Factores de riesgo
Límite:
Humanos
Idioma:
Chino
Revista:
Chinese Journal of Epidemiology
Año:
2022
Tipo del documento:
Artículo
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