Kupper L L, Haseman J K
Biometrics. 1978 Mar;34(1):69-76.
In certain toxicological experiments with laboratory animals, the outcome of interest is the occurrence of dead or malformed fetuses in a litter. Previous investigations have shown that the simple one-parameter binomial and Poisson models generally provide poor fits to this type of binary data. In this paper, a type of correlated binomial model is proposed for use in this situation. First, the model is described in detail and is compared to a beta-binomial model proposed by Williams (1975). These two-parameter models are then contrasted for goodness of fit to some real-life data. Finally, numerical examples are given in which likelihood ratio tests based on these models are employed to assess the significance of treatment-control differences.
在某些用实验动物进行的毒理学实验中,感兴趣的结果是一窝中死胎或畸形胎儿的出现情况。先前的研究表明,简单的单参数二项式和泊松模型通常不能很好地拟合这类二元数据。本文针对这种情况提出了一种相关二项式模型。首先,详细描述了该模型,并将其与威廉姆斯(1975年)提出的贝塔 - 二项式模型进行比较。然后,对比这两个参数模型对一些实际数据的拟合优度。最后,给出了数值示例,其中基于这些模型的似然比检验被用于评估处理组与对照组差异的显著性。