Analyse multidimensionnelle de durées de vie

分析人生的多维度

• 批准号: 341760-2010
• 负责人: LakhalChaieb, MHamedLajmi
• 金额: $ 0.87万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=572357
• 关键词: Analyse; multidimensionnelle; de; dur; es

The overall objective of the proposed research program is the joint analysis of multivariate failure times. Medical experiments and follow up studies provide several structures of multivariate failure times. Examples of such structures include data subject to dependent truncation, gap times between successive events and bivariate current status data. Typically, each of these pattern requires specific inference procedures and as new multivariate survival data structures arise, new statistical inference procedures are needed. The aim of this research program is to develop methodology to analyse new structures of multivariate failure times. The treated problems can be divided into four categories: - the nonparametric estimation of association measures such as Kendall's tau, - the estimation of survival functions, - the estimation of recurrent events mean function and - the development of goodness-of-fit tests for semi-parametric models such as copulas. The theoretical, practical and computational aspects of the proposed methodology will be investigated.

拟议的研究计划的总体目标是多变量故障时间的联合分析。医学实验和后续研究提供了多变量失效时间的几种结构。这样的结构的例子包括依赖截断的数据，连续事件之间的间隔时间和双变量当前状态数据。通常，这些模式中的每一种都需要特定的推断程序，并且随着新的多变量生存数据结构的出现，需要新的统计推断程序。 本研究计划的目的是开发方法来分析多变量失效时间的新结构。所处理的问题可分为四类： - 非参数估计的关联措施，如肯德尔的tau， - 生存函数的估计， - 复发事件均值函数的估计， - 开发半参数模型（如copula）的拟合优度检验。 将研究所提出的方法的理论，实践和计算方面。