Applications of statistical models on surveillance data in ecological study
10.3760/cma.j.issn.0254-6450.2019.08.026
- VernacularTitle: 监测数据统计分析模型在生态学研究中的应用
- Author:
Zhe ZHAO
1
;
Haitao WANG
1
;
Baofa JIANG
1
,
2
Author Information
1. Department of Epidemiology, School of Public Health, Shandong University, Jinan 250012, China
2. Climate Change and Health Center, Shandong University, Jinan 250012, China
- Publication Type:Journal Article
- Keywords:
Surveillance data;
Ecological study;
Statistical models;
Environmental epidemiology
- From:
Chinese Journal of Epidemiology
2019;40(8):1010-1017
- CountryChina
- Language:Chinese
-
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.
