Wang Lianming, Sun Jianguo, Tong Xingwei
Department of Statistics, University of South Carolina, 209C, LeConte College, Columbia, SC 29208, USA.
Department of Statistics, University of Missouri, 134E Middlebush Hall, Missouri 65211, USA.
Stat Sin. 2010;20(4):1709-1723.
Interval-censored failure time data often arise in clinical trials and medical follow-up studies, and a few methods have been proposed for their regression analysis using various regression models (Finkelstein (1986); Huang (1996); Lin, Oakes, and Ying (1998); Sun (2006)). This paper proposes an estimating equation-based approach for regression analysis of interval-censored failure time data with the additive hazards model. The proposed approach is robust and applies to both noninformative and informative censoring cases. A major advantage of the proposed method is that it does not involve estimation of any baseline hazard function. The implementation of the propsoed approach is easy and fast. Asymptotic properties of the proposed estimates are established and some simulation results and an application are provided.
区间删失失效时间数据经常出现在临床试验和医学随访研究中，并且已经提出了一些使用各种回归模型对其进行回归分析的方法（芬克尔斯坦（1986年）；黄（1996年）；林、奥克斯和应（1998年）；孙（2006年））。本文提出了一种基于估计方程的方法，用于对具有相加风险模型的区间删失失效时间数据进行回归分析。所提出的方法具有稳健性，适用于非信息删失和信息删失两种情况。所提出方法的一个主要优点是它不涉及任何基线风险函数的估计。所提出方法的实现简单且快速。建立了所提出估计量的渐近性质，并提供了一些模拟结果和一个应用实例。
