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ANALYSIS OF MULTIVARIATE FAILURE TIME DATA USING MARGINAL PROPORTIONAL HAZARDS MODEL

机译：多元失效时间数据的分析应用边际比例风险模型

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The marginal proportional hazards model is an important tool in the analysis of multivariate failure time data in the presence of censoring. We propose a method of estimation via the linear combinations of martingale residuals. The estimation and inference procedures are easy to implement numerically. The estimation is generally more accurate than the existing pseudo-likelihood approach: the size of efficiency gain can be considerable in some cases, and the maximum relative efficiency in theory is infinite. Consistency and asymptotic normality are established. Empirical evidence in support of the theoretical claims is shown in simulation studies.

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期刊名称 other
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Ying Chen; Kani Chen; Zhiliang Ying;
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年(卷),期 -1(20),33
年度 -1
页码 1025–1041
总页数 19
原文格式 PDF
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1. The statistical analysis of multivariate failure time data: A marginal modeling approach , Ross L. Prentice , Shanshan Zhao , Boca Raton, FL : CRC Press . The statistical analysis of multivariate failure time data: A marginal modeling approach The statistical analysis of multivariate failure time data: A marginal modeling approach , Ross L. Prentice Ross L. Ross L. Prentice Prentice , Shanshan Zhao Shanshan Shanshan Zhao Zhao , Boca Raton, FL Boca Raton, FL : CRC Press CRC Press . [J] . Lin D. Y. Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2019,第4期

机译：多变量故障时间数据的统计分析：边缘建模方法，罗斯L. Prentice，山山赵，博卡拉顿，FL：CRC压力机。多元故障时间数据的统计分析：边缘建模方法多元故障时间数据的统计分析：边缘建模方法，罗斯L. Prentice Ross L. Ross L. Prentice Prentice，Shanshan Zhao Shanshan Shanshan Zhao Zhao，Boca Raton， FL BOCA RATON，FL：CRC按CRC压力机。
2. Optimal weight functions for marginal proportional hazards analysis of clustered failure time data [J] . Robert J.Gray, Yi Li Lifetime Data Analysis . 2002,第1期

机译：聚类故障时间数据的边际比例风险分析的最佳权函数
3. Proportional Hazards Model for Multivariate Failure Time Data [J] . P. G. SANKARAN, V. N. SREEJA Communications in Statistics . 2007,第5a8期

机译：多元失效时间数据的比例危害模型
4. Predicting Remaining Useful Life Based on the Failure Time Data with Heavy-Tailed Behavior and User Usage Patterns Using Proportional Hazards Model [C] . Li Zhiguo, Kott Gregory Ninth International Conference on Machine Learning and Applications . 2010

机译：基于故障时间较长的行为和用户使用模式的故障时间数据，使用比例危害模型预测剩余使用寿命
5. Proportional hazards regression model with unknown link function and applications to longitudinal time-to-event data. [D] . Wang, Wei. 2001

机译：具有未知链接函数的比例风险回归模型及其在纵向事件时间数据中的应用。
6. Survival analysis of thalassemia major patients using Cox Gompertz proportional hazard and Weibull accelerated failure time models [O] . Enayatollah Bakhshi, Reza Ali Akbari Khoei, Azita Azarkeivan, 2017

机译：使用CoxGompertz比例风险和Weibull加速失败时间模型对重度地中海贫血患者进行生存分析
7. The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach. [O] . Richard J. Cook 2020

机译：多变量故障时间数据的统计分析：边缘建模方法。

ANALYSIS OF MULTIVARIATE FAILURE TIME DATA USING MARGINAL PROPORTIONAL HAZARDS MODEL

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