基于分层四格表资料的边际结构模型分析方法及其SAS实现  

Marginal structural models to estimate the Four-fold tables with confounders and its SAS implementation

作　　者：刘龙[1] 张学中[2] 郭秀花[1] 

机构地区：[1]首都医科大学公共卫生学院,北京市100069 [2]北京高血压联盟研究所

出　　处：《中国医院统计》2014年第1期13-15,18,共4页Chinese Journal of Hospital Statistics

摘　　要：目的：结合病例对照研究中的分层四格表资料，介绍边际结构模型的思想，探索边际结构模型的分析方法。方法利用“处理倒数概率加权”的方法，使“原初人群”经过“补实”后，获得“虚拟人群”，经过Mantel-Haenszel 估计，计算ORMH值，并计算未经分层的cOR，比较ORMH与cOR的差异。结果边际结构模型的分析结果与Mantel-Haenszel估计的分析结果基本一致。结论边际结构模型为我们解决上述问题提供了一种全新的思路。Objective Combined with the Four-fold tables with confounders in the case-control study, introduce the idea of marginal structural models and explore the analytic method of marginal structural models.Methods Using the method of″In-verse-Probability-of-Treatment Weighting″, so that we can obtain a″Pseudo population″based on the″original people″through the″Counterfactual″, using the Mantel-Haenszel estimate in the″Pseudo-population″, calculated the value of ORMH , compared ORMH with cOR.Results The result of marginal structural models and the result of Mantel-Haenszel estimate are basically consistent. Conclusion Marginal structural provided a new way of thinking to solve the above problem.

关 键 词：边际结构模型 分层四格表 补实 处理倒数概率加权 虚拟人群 

分 类 号：R197[医药卫生—卫生事业管理]