Mann R C, Popp D M, Popp R A
Mutat Res. 1985 May-Jun;143(1-2):93-100. doi: 10.1016/0165-7992(85)90112-5.
Based on the assumption that the numbers of mutations observed in an untreated and treated sample of individuals are binomial random variables, a method is presented to compute the probability of observing a specific number of mutations as a function of the sample sizes and the number of mutations in the untreated control sample. Knowledge of the true mutation frequencies is not required. The formalism is then used to compute critical sample sizes for testing hypotheses concerning mutation frequencies in the two populations.
基于在未经处理和经处理的个体样本中观察到的突变数量是二项式随机变量这一假设,提出了一种方法来计算观察到特定数量突变的概率,该概率是样本大小和未经处理的对照样本中突变数量的函数。不需要知道真实的突变频率。然后使用该形式体系来计算用于检验关于两个群体中突变频率假设的临界样本大小。