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Bootstrapping estimates of regression analysis for a non-random sample and its application in the research on anti-proliferation effects of triptolide

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学术成果认领

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摘要Objective: To solve the problem of parameter estimate in the regression analysis of non-random sample. Methods: Calculating residuals according to the regression function based on original data. Modifying residuals and correcting them with mean. Adding mean-corrected residuals on original response and bootstrapping them to get 1000 samples. Fitting regression functions of 1000 resampling samples and calculating the 2.5th percentile and 97.5th percentile of corresponding coefficient. Results: The interval estimates deriving from bootstrap method had more statistical significance than that from usual method. Conclusion: Bootstrapping a regression with residuals is a valid method for estimating parameter in regression analysis.

作者曹阳 ^[1] 李玫 ^[2] 谢万军 ^[3] 张罗漫 ^[1] 吴宗贵 ^[2] 学术成果认领

作者单位 Department of Health Statistics, Second Military Medical University, Shanghai 200433, China ^[1] Department of Cardiovasology, Changzheng Hospital, Second Military Medical University, Shanghai 200433, China ^[2] Classification, Assessment and Survey Unit, World Health Organization, Geneva, Switzerland ^[3]

关键词 bootstrap regression analysis resampling triptolide

分类号 R19

栏目名称

Preventive Medicine

发布时间 2004-01-15（万方平台首次上网日期，不代表论文的发表时间）

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