| 汪涛,山口拓洋,大桥靖雄,冯学山,姜庆五.倾向指数方法的蒙特卡罗研究[J].Chinese journal of Epidemiology,2005,26(6):458-462 |
| 倾向指数方法的蒙特卡罗研究 |
| A Monte2Carlo study for propensity score methods |
| Received:November 18, 2004 |
| DOI： |
| KeyWord: 倾向指数方法 露效果的估计 模型误定 |
| English Key Word: Propensity score methods Estimators for exposure effect Model misspecification |
| FundProject: |
| Author Name | Affiliation | | WANG Tao | Department of Health Statistics and Community Health, School of Public Health, Fudan University, Shanghai 200032, China | | YAMAGUCHI Takuhiro | Department of Biostatistics and Epidemiology, Division of Health Sciences and Nursing, Graduate School of Medicine, the University of Tokyo, Japan | | OHASHI Yasuo | Department of Biostatistics and Epidemiology, Division of Health Sciences and Nursing, Graduate School of Medicine, the University of Tokyo, Japan | | FENG Xue-shan | Department of Health Statistics and Community Health, School of Public Health, Fudan University, Shanghai 200032, China | | JIANG Qing-wu | Department of Health Statistics and Community Health, School of Public Health, Fudan University, Shanghai 200032, China |
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| Abstract: |
| 目的评价由倾向指数方法得到的暴露效果的估计量和统计性质,并探讨其实用性。方法利用计算机模拟对倾向指数方法在无模型误定和有模型误定情况下的偏度和精度进行分析,并与基于模型方法的模拟结果进行比较。结果当存在模型误定时,倾向指数方法比基于模型的方法具有较好的稳健性。结论对于大量、关系复杂的数据,应用倾向指数方法具有较大的灵活性。 |
| English Abstract: |
| Objective To evaluate the statistical property of the estimators on exposure effect and value of propensity score methods in practical use. Methods Simulation data,propensity score methods(PSM) were conducted to assess bias and efficiency, under both with/without model misspecification conditions. Results Under model misspecification conditions, propensity score methods had better robustness than model based methods. Conclusion For large and complicated data, propensity score methods had more flexibility in practical use than model based methods. |
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