带碎片协变量右删失数据的模型平均方法  

Model Averaging Method for Right-Censored Data with Fragmentary Covariates

作　　者：王淑影 周丽芳 程云飞 WANG Shuying;ZHOU Lifang;CHENG Yunfei(School of Mathematics and Statistics,Changchun University of Technology,Changchun 130012,China)

机构地区：[1]长春工业大学数学与统计学院,长春130012

出　　处：《吉林大学学报（理学版）》2024年第5期1091-1101,共11页Journal of Jilin University:Science Edition

基　　金：国家自然科学基金数学天元基金(批准号:12226416);国家自然科学基金面上项目(批准号:12271060);吉林省自然科学基金优秀青年基金(批准号:20230101371JC)。

摘　　要：考虑在带有碎片协变量的右删失数据下比例风险模型的模型平均问题,先利用极大似然估计方法对模型中的参数进行估计,再采用基于信息准则的模型平均方法选取权重.模拟结果表明,模型平均方法相比于模型选择方法预测精度更高.并通过乳腺癌实例分析验证了该方法的优越性和可行性.We considered the model averaging problem of the proportional hazard model in the right-censored data with fragmentary covariates.We first used the maximum likelihood estimation method to estimate the parameters in the model,and then used the model averaging method based on the information criterion to select the weights.The simulation results show that the model averaging method has higher prediction accuracy than the model selection method,and the superiority and feasibility of the proposed method are verified by the analysis of breast cancer examples.

关 键 词：右删失数据 碎片协变量 模型平均 比例风险模型 信息准则 

分 类 号：O212[理学—概率论与数理统计]