The dynamic model for cancer relapse based on two-stage model of carcinogenesis

被引：0

作者：

Kao, Lie-Jane ^{[1
]}

Chen, Li-Shya ^{[2
]}

机构：

[1] Department of Risk Management, Kai-Nan University, No. 1 Kainan Road, Luzhu Shiang, Taoyuan 33857, Taiwan

[2] Department of Statistics, National Cheng-Chi University, Taipei, Taiwan

来源：

Communications in Statistics - Theory and Methods | 2012年 / 41卷 / 10-12期

关键词：

Diseases - Pathology - Chemotherapy - Cloning - Random processes - Growth kinetics - Dynamic models;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this article, the time from the start of chemotherapy randomization until cancer relapse is of primary interest. Here, cancer relapse refers to the appearance of the first observable malignant clone after therapy. A dynamic model for cancer relapse after chemotherapy is developed. The model differs from the traditional cure rate models in that it takes into consideration the growth kinetics of malignant tumors using a two-stage carcinogenesis model. The survival and hazard functions for cancer relapse time are derived, and a simulation study is performed to validate the underlying model. Copyright © Taylor & Francis Group, LLC.

引用

页码：1701 / 1720