Cluster analysis applied in the epidemiological stratification analysis.
- Author:
Ji-kai ZHANG
1
;
Yi-ling HU
;
Chao-feng HU
;
Yao-xing LUO
;
Wei-sheng LIN
;
Chi-peng WU
Author Information
- Publication Type:Journal Article
- MeSH: Adult; Age Factors; Aged; Bias; China; epidemiology; Cluster Analysis; Confounding Factors (Epidemiology); Data Interpretation, Statistical; Diabetes Mellitus; epidemiology; Epidemiologic Methods; Humans; Middle Aged; Multivariate Analysis; Reproducibility of Results; Risk Factors
- From:Chinese Journal of Epidemiology 2003;24(7):615-617
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo establish a new method on stratification analysis when the stratification limits of confounding factors was not clear or contradictory.
METHODData on a study of diabetes mellitus in Guangdong province collected in the year of 1997 and 1998 was analyzed using cluster-stratification analysis.
RESULTSThe efficiency of stratification analysis was improved and the confounding bias was effectively controlled with information bias avoided when the clusters-stratification analysis was applied.
CONCLUSIONThe problem was logically solved using cluster analysis as an assistant stratification means.
