Kim B S, Margolin B H
Department of Applied Statistics, Yonsei University, Seoul, South Korea.
Environ Health Perspect. 1994 Jan;102 Suppl 1(Suppl 1):127-30. doi: 10.1289/ehp.94102s1127.
Among the various methods for predicting carcinogenicity from a battery of short-term tests (STTs), the carcinogenicity prediction and battery selection (CPBS) procedure is the most prominent. A major assumption of CPBS is that the STTs used in the prediction are conditionally independent. Results of recent National Toxicology Program studies of four commonly used in vitro STTs contradict this assumption, thereby necessitating modification of CPBS to accommodate dependencies. This is accomplished via log-linear modeling, which then also yields an important dividend: standard errors for the predicted probabilities of carcinogenicity.
在从一系列短期试验（STT）预测致癌性的各种方法中，致癌性预测与试验组合选择（CPBS）程序最为突出。CPBS的一个主要假设是，预测中使用的短期试验是条件独立的。美国国家毒理学计划最近对四种常用体外短期试验的研究结果与这一假设相矛盾，因此有必要对CPBS进行修改以适应相关性。这是通过对数线性建模实现的，对数线性建模还会产生一个重要的好处：致癌性预测概率的标准误差。
