Rao B R, Janardan K G, Schaeffer D J
J Toxicol Environ Health. 1982 Mar;9(3):499-508. doi: 10.1080/15287398209530181.
A method for estimating the proportion of mutagens in a sample of N compounds is developed. For this procedure to be applicable, there must be a statistically significant correlation between the number of mutagens in the sample and the sample size N. Sample size is treated as a random variable. A sequential sampling scheme is considered. In the first stage, compounds are identified and classified as mutagens, nonmutagens, or untested, as reported in the literature. In the second stage, all untested compounds are tested for mutagenicity. Since data of this type are not generally available, estimates of the proportions of compounds tested (p), tested and mutagenic (p1), and untested but mutagenic (p2) are developed from existing complications. It is shown that there is a high, statistically significant correlation between the total number of mutagens in a sample and the sample size N. The proportion of mutagens in a sample for various values of p, p1, and p2 is tabulated.
开发了一种估算N种化合物样本中诱变剂比例的方法。为使该程序适用,样本中诱变剂的数量与样本大小N之间必须存在统计学上的显著相关性。样本大小被视为一个随机变量。考虑了一种序贯抽样方案。在第一阶段,如文献报道,化合物被识别并分类为诱变剂、非诱变剂或未测试的。在第二阶段,所有未测试的化合物都进行诱变性测试。由于这类数据通常不可得,已从现有复杂情况中得出了测试化合物比例(p)、测试且诱变的比例(p1)以及未测试但诱变的比例(p2)的估计值。结果表明,样本中诱变剂的总数与样本大小N之间存在高度的、统计学上的显著相关性。列出了不同p、p1和p2值下样本中诱变剂的比例。