An Evaluation of Risk Estimation Procedures for Mixtures of Carcinogens
作者: Jing-Shiang HwangJames J. Chen
作者单位: 1Institute of Statistical Science Academia Sinica
2Division of Biometry and Risk Assessment, National Center for Toxicological Research, U.S. Food and Drug Administration
刊名: Risk Analysis, 1999, Vol.19 (6), pp.1071-1076
来源数据库: Springer Nature Journal
DOI: 10.1023/A:1007074426128
关键词: upper confidence limitlikelihood-based confidence limitmultistage carcinogenesis modelMonte Carlo simulation
英文摘要: Abstract(#br)The estimation of health risks from exposure to a mixture of chemical carcinogens is generally based on the combination of information from several available single compound studies. The current practice of directly summing the upper bound risk estimates of individual carcinogenic components as an upper bound on the total risk of a mixture is known to be generally too conservative. Gaylor and Chen (1996, Risk Analysis) proposed a simple procedure to compute an upper bound on the total risk using only the upper confidence limits and central risk estimates of individual carcinogens. The Gaylor-Chen procedure was derived based on an underlying assumption of the normality for the distributions of individual risk estimates. In this paper we evaluated the Gaylor-Chen approach in...
全文获取路径: Springer Nature  (合作)
影响因子:2.278 (2012)