Extra-Poisson Variation in Log-Linear Models
该文改进了Williams的迭代加权最小二乘法，用于在对数线性模型中处理超泊松变异，并应用于癌症死亡率分析和生物测定中的诱变效应检验。
A modification of the iterated reweighted least squares scheme of Williams (1982) conveniently accommodates extra‐Poisson variation when fitting log‐linear models to tables of frequencies or rates. The method is applied to the analysis of cancer death rates by age and birth cohort and to testing for mutagenic effects in a standard bioassay.