Cox regression analysis of dependent interval-censored failure time data

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• 作者：Ling Ma^a ; ^{mlbegood@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Tao Hu^b ; Jianguo Sun^a
• 关键词：Copula model ; Cox model ; Dependent interval-censoring ; Efficient semiparametric estimation
• 刊名：Computational Statistics & Data Analysis
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：103
• 期：Complete
• 页码：79-90
• 全文大小：528 K

文摘

Many procedures have been proposed for regression analysis of interval-censored failure time data arising from the Cox or proportional hazards model. However, most of these existing methods only apply to the situation where the censoring mechanism generating censoring intervals is independent of the failure time of interest, and it is well-known that sometimes this may not be true in practice. To address this issue, a new approach that allows the dependence between the censoring mechanism and the failure time is proposed. More specifically, a situation where the dependence is through the length of censoring intervals is considered as it is often the case in follow-up studies. The asymptotic properties of the proposed estimators are established and the numerical studies are conducted for the assessment of the finite sample properties of the estimators.