Erratum to "Semiparametric estimation in copula models"
Erratum to "Semiparametric estimation in copula models"
复制标题
“Copula 模型中的半参数估计”的勘误
DOI：
10.1002/cjs
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Hideatsu Tsukahara
中科院分区：
文献类型：
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作者：
Sonoyama;et al;Hideatsu Tsukahara
病例对照抽样可以是一种高效且节省成本的研究设计，其中根据感兴趣的结果选择受试者进入研究。很久以前就已经确定比例风险回归可以应用于病例对照数据。然而，每种可用的估计技术都假设故障时间是独立审查的。由于观察性研究中经常违反独立审查，因此我们提出了对通过病例对照抽样获得的生存数据进行 Cox 回归分析的方法，但受到依赖性审查。所提出的方法基于加权估计方程，并使用单独的逆权重来解释病例对照抽样并校正相关审查。所提出的估计量被证明是一致的和渐近正态的，并且导出了渐近协方差矩阵的一致估计量。通过模拟研究检查了所提出的估计量的有限样本属性。这些方法通过对国家器官衰竭登记处获得的终末期肝病患者的移植前死亡率进行分析来说明。加拿大统计杂志42：365-383； 2014 © 2014 加拿大统计学会
Case‐control sampling can be an efficient and cost‐saving study design, wherein subjects are selected into the study based on the outcome of interest. It was established long ago that proportional hazards regression can be applied to case‐control data. However, each of the various estimation techniques available assumes that failure times are independently censored. Since independent censoring is often violated in observational studies, we propose methods for Cox regression analysis of survival data obtained through case‐control sampling, but subject to dependent censoring. The proposed methods are based on weighted estimating equations, with separate inverse weights used to account for the case‐control sampling and to correct for dependent censoring. The proposed estimators are shown to be consistent and asymptotically normal, and consistent estimators of the asymptotic covariance matrices are derived. Finite‐sample properties of the proposed estimators are examined through simulation studies. The methods are illustrated through an analysis of pre‐transplant mortality among end‐stage liver disease patients obtained from a national organ failure registry.The Canadian Journal of Statistics42: 365–383; 2014 © 2014 Statistical Society of Canada