Asymptotic results for fitting semiparametric transformation models to failure time data from case-cohort studies
Asymptotic results for fitting semiparametric transformation models to failure time data from case-cohort studies
复制标题
将半参数变换模型拟合到案例队列研究的故障时间数据的渐近结果
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
P. Sen
中科院分区：
文献类型：
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作者：
L. Kong;Jianwen Cai;P. Sen
半参数转换模型被考虑用于来自病例队列研究的故障时间数据，其中仅针对从整个队列中随机选择的子队列和子队列之外的其他病例组装协变量。我们提出了回归参数和生存概率的估计程序。所得估计量的渐近特性是基于 U 统计、鞅、随机过程和有限总体抽样的渐近结果而开发的。
Semiparametric transformation models are considered for failure time data from case-cohort studies, where the covariates are assembled only for a randomly selected subcohort from the entire cohort and additional cases outside the subcohort. We present the estimating procedures for the regression parameters and survival probability. The asymptotic properties of the resulting estimators are developed based on asymptotic results for U-statistics, martingales, stochastic processes and finite population sampling.