Finite Mixture Normal Models, with Application to Dose-Response Studies

被引:2
作者
陶剑
宋海燕
史宁中
机构
关键词
dose-response; EM algorithm; mixture normal models; risk assessment;
D O I
10.13447/j.1674-5647.2002.01.002
中图分类号
O212.4 [多元分析];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
<正>In this paper, we consider the risk assessment problem under multi-levels and multiple mixture subpopulations. Our result is the generalization of the results of [1-5].1 Finite Mixture Normal ModelsIn dose-response studies, a class of phenomena that frequently occur are that experimental subjects (e.g., mice) may have different responses like 'none, mild, severe' after a toxicant experiment, or 'getting worse, no change, getting better' after a medical treatment, etc. These phenomena have attracted the attention of many researchers in recent years. Finite
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页码:5 / 8
页数:4
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