文档介绍：Interval-censored Data Analysis of Gaps
Between Recurrent Events with Cure Fraction
Bing Yang and Cuiliu Xiao Xiaobing Zhao*
School of Science, Jiangnan University School of Mathematics and Statistics,
1800 Lihu Road, Wuxi, Jiangsu Province, CHINA 214122 Zhejiang University of Finance and Economics, Hangzhou,
Email: icylavender@ Email: maxbzhao@
Abstract—Interval-censored data of gaps between recurrent paper is a derivative of the marginal rate function model rather
events arise as the exact gaps can not be available but only than a naive assumption of a multiplicative and/or additive
know, such as whether the event time of interest is no later model which can be found in most literature. The marginal
than the examination time. The recurrent event times subject to
this interval censoring are often encountered in epidemiological rate model is preferable by practitioners (Luo and Wang, 2006)
studies and clinical trials. In this paper we propose a gaps since it can give more direct interpretations for identifying risk
model which is a derivative of the marginal rate function of the factors (Wang et al.,2001).
recurrent events processes. This model can modate the cure The existing gaps model all are based on a assumption that
fraction as well. The proposed model can be easily extended to all the subjects experience the event of interest at least once
the genera