[聚类分析在流行病学分层分析中的应用]
[Cluster analysis applied in the epidemiological stratification analysis].
作者信息
Zhang Ji-kai, Hu Yi-ling, Hu Chao-feng, Luo Yao-xing, Lin Wei-sheng, Wu Chi-peng
机构信息
Center for Disease Control and Prevention of Guangdong Province, Guangzhou 510300, China.
出版信息
Zhonghua Liu Xing Bing Xue Za Zhi. 2003 Jul;24(7):615-7.
OBJECTIVE
To establish a new method on stratification analysis when the stratification limits of confounding factors was not clear or contradictory.
METHOD
Data on a study of diabetes mellitus in Guangdong province collected in the year of 1997 and 1998 was analyzed using cluster-stratification analysis.
RESULTS
The efficiency of stratification analysis was improved and the confounding bias was effectively controlled with information bias avoided when the clusters-stratification analysis was applied.
CONCLUSION
The problem was logically solved using cluster analysis as an assistant stratification means.
目的
建立一种在混杂因素分层界限不明确或相互矛盾时进行分层分析的新方法。
方法
采用整群分层分析方法对1997年和1998年收集的广东省糖尿病研究数据进行分析。
结果
应用整群分层分析时，分层分析效率提高，混杂偏倚得到有效控制，且避免了信息偏倚。
结论
采用聚类分析作为辅助分层手段，从逻辑上解决了该问题。
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