McKnight B
Department of Biostatistics, University of Washington, Seattle 98195.
Fundam Appl Toxicol. 1988 Feb;10(2):355-64. doi: 10.1016/0272-0590(88)90321-1.
Statistical methods for analyzing data from chronic carcinogenicity bioassays are reviewed. When treatment groups do not show marked differences in tumor-free death rates, methods that compare the crude proportions of animals that develop tumors can be recommended as valid and powerful comparisons of age-specific tumor incidence rates. When the age at tumor onset can be observed, techniques of survival analysis such as the logrank test can adjust for differing tumor-free mortality rates. If tumors are strictly nonlethal, the age-adjusted comparison of tumor prevalence among dying animals compares age-specific tumor incidence rates. When tumors are occult or of intermediate lethality and when tumor-free death rates differ substantially, a variety of techniques are available, but most are computationally intensive and rely either on the collection of additional data or on additional assumptions that may not be met.
本文综述了用于分析慢性致癌性生物测定数据的统计方法。当治疗组在无肿瘤死亡率上没有显著差异时,比较发生肿瘤的动物的粗略比例的方法可被推荐为对特定年龄肿瘤发病率的有效且有力的比较。当可以观察到肿瘤发生的年龄时,生存分析技术如对数秩检验可用于调整不同的无肿瘤死亡率。如果肿瘤严格来说是非致命性的,对濒死动物中肿瘤患病率进行年龄调整后的比较可比较特定年龄的肿瘤发病率。当肿瘤是隐匿性的或具有中等致死性,且无肿瘤死亡率有很大差异时,有多种技术可供使用,但大多数计算量很大,并且要么依赖于收集额外的数据,要么依赖于可能无法满足的额外假设。