Analysis of Baldder Tumor Recurrence Data with the Ternimal Event and Cure Fraction
Complete observation of the recurrent events may not be available, since some subjects might drop out or fail before the endpoint of observation. However, the assumption of independency of the recurrent events and the censoring is not realistic in many situations. In this paper, we develop an innovative model based on the Clayton-Oakes copula function to fit the correlation of these variables. The joint survival function of the recurrent event times can be obtained through the marginal hazard functions with copula parameters which measure the degree of dependence and control the association between these variables. The cure fraction can be concluded into the proposed model as well. An example of application on bladder tumor recurrence data is re-analyzed to assess the proposed models and methodologies.
Cuiliu Xiao Yang Bing Xiaobing Zhao
School of Science, Jiangnan University 1800 Lihu Road, Wuxi, Jiangsu Province, CHINA 214122 School of Mathematics and Statistics, Zhejiang University of Finance and Economics, Hangzhou
国际会议
成都
英文
1-4
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）