竞争风险回归模型的统计分析及应用

IF 0.5 Q4 ECONOMICS

Croatian Operational Research Review Pub Date : 2019-07-01 DOI:10.17535/CRORR.2019.0002

P. Volf

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引用次数: 0

摘要

本文讨论了协变量存在下相依竞争风险的统计分析方法。回顾了竞争随机变量的边际分布和联合分布的识别问题，并在回归模型的框架下给出了一定的可识别性结果。然后，主要目标是研究竞争变量的相关性取决于协变量的情况，因为在大多数涉及竞争风险模型的可识别性的回归论文中都没有考虑到这一现象。这种依赖性是通过失业数据的一个真实例子来证明和估计的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Statistical analysis and application of competing risks model with regression

The paper deals with the methods of statistical analysis of dependent competing risks in the presence of covariates. The problem of identification of marginal and joint distributions of competing random variables is recalled and certain identifiability results in the framework of regression models are presented. The main objective is then to study the case when the correlation of competing variables depends on covariates, as this phenomenon has not been taken into account in the most of papers dealing with the identifiability of competing risks models with regression. Such a dependence is demonstrated and estimated on a real example with unemployment data.

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来源期刊

Croatian Operational Research Review ECONOMICS-

CiteScore

1.40

自引率

0.00%

发文量

审稿时长

22 weeks

期刊介绍： Croatian Operational Research Review (CRORR) is the journal which publishes original scientific papers from the area of operational research. The purpose is to publish papers from various aspects of operational research (OR) with the aim of presenting scientific ideas that will contribute both to theoretical development and practical application of OR. The scope of the journal covers the following subject areas: linear and non-linear programming, integer programing, combinatorial and discrete optimization, multi-objective programming, stohastic models and optimization, scheduling, macroeconomics, economic theory, game theory, statistics and econometrics, marketing and data analysis, information and decision support systems, banking, finance, insurance, environment, energy, health, neural networks and fuzzy systems, control theory, simulation, practical OR and applications. The audience includes both researchers and practitioners from the area of operations research, applied mathematics, statistics, econometrics, intelligent methods, simulation, and other areas included in the above list of topics. The journal has an international board of editors, consisting of more than 30 editors – university professors from Croatia, Slovenia, USA, Italy, Germany, Austria and other coutries.