Journal of Capital Medical University ›› 2010, Vol. 31 ›› Issue (3): 373-376.

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Superiority of the Multilevel Model in Stratified Sampling Research

HENG Ming-li1, WANG Hong-wu1*, MA Lin-mao2, CHEN Ying-dan3   

  1. 1. Department of Public Health, Tianjin Traditional Chinese Medicine University;2. Office for Public Health Surveillance and Information Service, Chinese Center for Disease Control and Prevention; 3. Office for Soilborne and Food borne Parasitic Diseases, Chinese Center for Disease Control and Prevention
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-06-21 Published:2010-06-21
  • Contact: WANG Hong-wu

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Abstract:

Objective To explore the superiority of the multilevel model compared with the traditional model in crosssectional survey research data by stratified sampling. Methods Using the data of Guangdong in “the Survey of the Second National Important Parasitic Diseases”, the paper analyzing the factors of Clonorchis sinensis disease infection with traditional logistic regression model and multilevel logistic regression model separately. Results The age group is not significant in traditional logistic regression model but becomes significant in multilevel logistic regression model. Conclusion Compared to the traditional logistic regression model,multilevel models can efficiently analyze cross-sectional study data, according to error from different levels while analyzing hierarchical structure data.

Key words: multilevel model, stratified sampling, hierarchical structure, clonorchis sinensis

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