Regression Models and Multivariate Life Tables.
Regression Models and Multivariate Life Tables.
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DOI：
10.1080/01621459.2020.1713792
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发表时间：
2021
影响因子：
3.7
通讯作者：
Zhao S
中科院分区：
文献类型：
--
作者：
Prentice RL;Zhao S
半参数，乘法形式的回归模型被指定为边际单一和双重故障风险率的多元故障时间数据的回归分析。Cox型估计函数被指定用于单失效和双失效风险比参数估计，并且相应的Aalen-Breslow估计量被指定用于基线风险率。概括，允许分类的故障时间到一个较小的故障类型，具有共同的基线危险功能的相同类型的故障，也包括在内。渐近分布理论是对林丹宇、魏立杰及其同事的边际单一失效危险率估计结果的推广。Péano系列表示的二元生存函数在相应的边际单和双故障风险率导致新的估计成对的二元生存函数和成对的依赖函数，在指定的协变量的历史。相关的渐近分布理论来自于边际单次和双次失效风险率的渐近分布理论以及Péano级数变换的连续性、紧可微性和自助法的适用性。模拟评估建议的估计程序，并提供了一个应用程序的妇女健康倡议饮食调整试验中的多个临床结果。简要介绍了高维边际风险率回归模型。
Semiparametric, multiplicative-form regression models are specified for marginal single and double failure hazard rates for the regression analysis of multivariate failure time data. Cox-type estimating functions are specified for single and double failure hazard ratio parameter estimation, and corresponding Aalen–Breslow estimators are specified for baseline hazard rates. Generalization to allow classification of failure times into a smaller set of failure types, with failures of the same type having common baseline hazard functions, is also included. Asymptotic distribution theory arises by generalization of the marginal single failure hazard rate estimation results of Danyu Lin, L.J. Wei and colleagues. The Péano series representation for the bivariate survival function in terms of corresponding marginal single and double failure hazard rates leads to novel estimators for pairwise bivariate survival functions and pairwise dependency functions, at specified covariate history. Related asymptotic distribution theory follows from that for the marginal single and double failure hazard rates and the continuity, compact differentiability of the Péano series transformation and bootstrap applicability. Simulation evaluation of the proposed estimation procedures are presented, and an application to multiple clinical outcomes in the Women’s Health Initiative Dietary Modification Trial is provided. Higher dimensional marginal hazard rate regression modeling is briefly mentioned.
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影响因子：
3.7
作者：
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通讯作者：
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影响因子：
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