Applications of statistical models on surveillance data in ecological study / 中华流行病学杂志
Chinese Journal of Epidemiology
;
(12): 1010-1017, 2019.
Artículo
en Chino
| WPRIM
| ID: wpr-805758
ABSTRACT
In recent years, with the improvement of various surveillance network, surveillance system has become an important data source for ecological study. Different data types, including cross-sectional data, time series data and panel data, containing abundant information involving exposure, outcome and confoundings. Gradually, some new statistical methods have been developed or improved for the special structural characteristics of surveillance data. In this paper, we summarized the principles of these models, preconditions, as well as their advantages and limitations.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Tipo de estudio:
Estudio pronóstico
/
Factores de riesgo
/
Estudio de tamizaje
Idioma:
Chino
Revista:
Chinese Journal of Epidemiology
Año:
2019
Tipo del documento:
Artículo
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