首都医科大学学报 ›› 2010, Vol. 31 ›› Issue (3): 373-376.

• 基础研究 • 上一篇    下一篇

多水平模型在分层抽样研究中的优越性

衡明莉1, 王泓午1*, 马林茂2, 陈颖丹3   

  1. 1. 天津中医药大学公共卫生教研室;2. 中国疾病预防控制中心信息中心统计室;3. 中国疾病预防控制中心土源性食源性寄生虫病室
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-06-21 发布日期:2010-06-21
  • 通讯作者: 王泓午

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

摘要:

目的 探讨在分层抽样横断面调查研究资料中多水平模型相对于传统模型的优越性。方法 分别采用普通logistic回归模型和多水平logistic回归模型分析“第2次全国人体重要寄生虫病现状调查”中的华支睾吸虫病流行区调查中的广东省数据。结果 在传统logistic回归分析中差异无统计学意义的年龄组,在多水平logistic回归分析中差异有统计学意义。结论 与传统logistic回归模型相比,多水平模型在处理层次结构的数据时考虑到数据误差的层次性,可以有效地分析具有层次结构的数据。

关键词: 多水平模型, 分层抽样, 层次结构, 华支睾吸虫

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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