基于EM算法及Cox回归模型下右删失数据的研究  

Research on Right-Censored Data Based on the EM Algorithm and the Cox Regression Model

作　　者：赵翠 ZHAO Cui(Guizhou University of Finance and Economics,Guiyang,Guizhou Province,550025 China)

机构地区：[1]贵州财经大学,贵州贵阳550025

出　　处：《科技资讯》2023年第21期227-230,共4页Science & Technology Information

摘　　要：右删失数据是删失数据中最常见的数据类型,通常出现在数学、医学和科学研究等领域,由于受到外界因素的影响和在实验过程中研究对象起始和结尾发生的结果不同就使得实验中发生了右删失数据。因此,在数据分析时处理产生的删失数据是最为关键的一步。旨在处理右删失数据的方法为EM算法和Cox回归两种方法,这里主要研究产生右删失数据的过程,并深入了解EM算法和Cox回归方法的基本思想。Right-censored data is the most common type of data in censored data,which usually appears in the field of mathematics,medicine and scientific research.Due to the influence of external factors and the different results that occur at the beginning and end of the research object during the experiment,right-censored data occurs in the experiment.Therefore,processing the generated censored data is the most critical step when analyzing data.This study has two methods to process right-censored data:the EM algorithm and Cox regression,and here it mainly studies the process of generating right-censored data,and deeply understands the basic ideas of the EM algorithm and the Cox regression method.

关 键 词：右删失 EM 算法 COX 回归 统计分析 

分 类 号：O213[理学—概率论与数理统计]