Kopp-Schneider A
Department of Biostatistics, German Cancer Research Centre, Heidelberg, Germany.
Stat Methods Med Res. 1997 Dec;6(4):317-40. doi: 10.1177/096228029700600403.
This article provides an overview of different types of carcinogenesis models and discusses their use for risk assessment. One class of model, the multistage model, is especially suited for risk assessment purposes because it uses biological information about the process of carcinogenesis and the quantities of interest, such as time to tumour and number and size distribution of premalignant tumours, can be derived explicitly, allowing for standard statistical techniques to be used. The mathematical methods necessary for the treatment of multistage models are developed and the application of multistage models in risk assessment is discussed.
本文概述了不同类型的致癌模型，并讨论了它们在风险评估中的应用。一类模型，即多阶段模型，特别适合用于风险评估目的，因为它利用了有关致癌过程的生物学信息，并且可以明确推导出感兴趣的数量，如肿瘤发生时间以及癌前肿瘤的数量和大小分布，从而能够使用标准的统计技术。本文还开发了处理多阶段模型所需的数学方法，并讨论了多阶段模型在风险评估中的应用。
