Yakovlev A Y, Hanin L G, Rachev S T, Tsodikov A D
Department of Statistics, Ohio State University, Columbus 43210-1247, USA.
Proc Natl Acad Sci U S A. 1996 Jun 25;93(13):6671-5. doi: 10.1073/pnas.93.13.6671.
A distribution of tumor size at detection is derived within the framework of a mechanistic model of carcinogenesis with the object of estimating biologically meaningful parameters of tumor latency. Its limiting form appears to be a generalization of the distribution that arises in the length-biased sampling from stationary point processes. The model renders the associated estimation problems tractable. The usefulness of the proposed approach is illustrated with an application to clinical data on premenopausal breast cancer.
在癌症发生机制模型的框架内,得出了检测时肿瘤大小的分布情况,目的是估计肿瘤潜伏期具有生物学意义的参数。其极限形式似乎是平稳点过程的长度偏倚抽样中出现的分布的推广。该模型使相关的估计问题易于处理。通过将其应用于绝经前乳腺癌的临床数据,说明了所提出方法的实用性。