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Relations among homogeneity, collapsibility and nonconfounding in distribution effects

Relations among homogeneity, collapsibility and nonconfounding in distribution effects
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摘要 In this paper, the concept of distribution effect is proposed without the causal diagram. Following the notation of Stone [11], we assume that the exposure treatment X is an unknown deterministic function of the confounder set Pa（X） and a random error ε. We discuss sufficient and necessary conditions for homogeneity, collapsibility and nonconfounding for distribution effects and discuss relations among them. In this paper, the concept of distribution effect is proposed without the causal diagram. Following the notation of Stone [11], we assume that the exposure treatment X is an unknown deterministic function of the confounder set Pa（X） and a random error ε. We discuss sufficient and necessary conditions for homogeneity, collapsibility and nonconfounding for distribution effects and discuss relations among them.
作者 WANG Xue-li GAO Li
机构地区 School of Science Department of Mathematics
出处 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2010年第3期291-296,共6页 高校应用数学学报（英文版）（B辑）
基金 Supported by the NSFC (10801019)
关键词 COLLAPSIBILITY CONFOUNDING HOMOGENEITY distribution effect. Collapsibility, confounding, homogeneity, distribution effect.
分类号 TU444 [建筑科学—岩土工程] TN821.8 [电子电信—信息与通信工程]
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参考文献11

  • 1Z Geng, J H Guo, T S Lau, W K Fung. Confounding, homogeneity and collapsibility for causal effects in epidemiologic studies, Statist Sinica, 2001, 11: 63-75.
  • 2P W Holland. Statistics and causal inference, J Amer Statist Assoc, 1986, 81: 945-970.
  • 3PWHolland. Reader reactions: confounding in epidemiologic studies, Biometrics, 1989, 45: 1310-1316.
  • 4P W Holland, D B Rubin. Causal inference in retrospective studies, Evaluation Review, 1988, 12: 203-231.
  • 5O S Miettinen, E F Cook. Confounding: essence and detection, Amer J Epidemiology, 1981, 114: 593-603.
  • 6J Pearl. Causal diagrams for empirical research (with discussion), Biometrika, 1995, 83: 669-710.
  • 7P R Rosenbaum. From association to causation in observational studies: the role of tests of strongly ignorable treatment assignment, J Amer Statist Assoc, 1984, 79: 41-48.
  • 8P RRosenbaum, D B Rubin. The central role of the propensity score in observational studies for causal effects, Biometrika, 1983, 70: 41-55.
  • 9D B Rubin. Estimating causal effects of treatments in randomized and non-randomized studies, Journal of Educational Psychology, 1974, 66: 688-701.
  • 10D B Rubin. Bayesian inference for causal effects: the role of randomization, Ann Statist, 1978, 6: 34-58.
Applied Mathematics(A Journal of Chinese Universities)
2010年 第3期

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