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多个二项反应变量多水平因子分析模型的原理及应用 被引量:4

Principle and Application of Multilevel Factor Analysis Model of Multiple Binary Response Variables
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摘要 目的探讨多个二项反应变量多水平因子分析模型的应用。方法在MLwiN2.02软件中,采用马尔科夫链-蒙特卡罗参数估计方法,通过实例模拟及分析,说明模型的实际应用。结果该模型适用于反应变量为二项分类的、具有层次结构的数据。结论多个二项反应变量多水平因子分析模型有其独特的意义和用途。 Objective To explore the application of multilevel factor analysis model of multiple binary response variables. Methods Parametric estimation of Markov Chain Monte Carlo used, a real example was fit and analyzed in the software of MLwiN2.02 version, which was in order to illustrate the actual application. Results This model was suitable to the data of multiple binary response variables and with hierarchical structure. Conclusion Multilevel factor analysis model of multiple binary response variables had its distinct significance and use.
作者 王静 叶冬青
出处 《中国卫生统计》 CSCD 北大核心 2008年第1期22-25,共4页 Chinese Journal of Health Statistics
基金 安徽省教育厅自然科研基金项目(2006KJ360B) 全国统计科研规划基金项目(2006B31)
关键词 多个二项反应变量 因子分析模型 多水平 Multiple binary response variables Factor analysis model Multilevel
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参考文献8

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