CASE-CONTROL SURVIVAL ANALYSIS WITH A GENERAL SEMIPARAMETRIC SHARED FRAILTY MODEL - A PSEUDO FULL LIKELIHOOD APPROACH.
CASE-CONTROL SURVIVAL ANALYSIS WITH A GENERAL SEMIPARAMETRIC SHARED FRAILTY MODEL - A PSEUDO FULL LIKELIHOOD APPROACH.
复制标题
DOI：
10.1901/jaba.2009.37-1489
复制
发表时间：
2009
影响因子：
4.5
通讯作者：
Hsu L
中科院分区：
文献类型：
--
作者：
Gorfine M;Zucker DM;Hsu L
在这项工作中，我们处理相关的故障时间（发病年龄）数据所产生的基于人口的病例对照研究，其中病例和对照先证者选择基于人口的抽样和一系列的风险因素措施收集的情况下，控制和他们的亲属。感兴趣的参数是风险因素对故障时间风险函数的影响，以及调整风险因素后故障时间之间的家族内依赖性。由于采用回溯抽样方案，现有方法的大样本理论尚未建立。我们开发了一种新的技术来估计一般的半参数共享脆弱模型下的参数。我们还提出了一个简单的，易于计算，和非迭代的非参数估计的累积基线风险函数。我们提供了严格的大样本理论所提出的方法。我们还提出了模拟结果和一个真实的数据的例子来说明所提出的方法的实用性。
In this work we deal with correlated failure time (age at onset) data arising from population-based case-control studies, where case and control probands are selected by population-based sampling and an array of risk factor measures is collected for both cases and controls and their relatives. Parameters of interest are effects of risk factors on the failure time hazard function and within-family dependencies among failure times after adjusting for the risk factors. Due to the retrospective sampling scheme, large sample theory for existing methods has not been established. We develop a novel technique for estimating the parameters of interest under a general semiparametric shared frailty model. We also present a simple, easily computed, and non-iterative nonparametric estimator for the cumulative baseline hazard function. We provide rigorous large sample theory for the proposed method. We also present simulation results and a real data example for illustrating the utility of the proposed method.