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区间删失数据下基于模型平均方法的估计及预测

Estimation and prediction of model average method under interval-censored data
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摘要 将模型平均方法应用于区间删失数据下的加速失效时间模型中,并与模型选择方法进行了比较,模拟结果表明模型平均方法的估计要优于模型选择方法.将模型平均方法应用于心脏移植手术数据的实例分析中,结果表明相对于模型选择方法而言,模型平均方法的预测效果更好. The model averaging method is applied to the accelerated failure time model under interval censored data,and compared with the model selection method.The simulation results show that the estimation of the model averaging method is better than the model selection method.The model averaging method is also applied to the case analysis of cardiac transplantation data,and the results show that the prediction effect of the model averaging method is superior the model selection method.
作者 程云飞 王淑影 张亚男 CHENG Yun-fei;WANG Shu-ying;ZHANG Ya-nan(School of Mathematics and Statistics,Changchun University of Technology,Changchun 130012,China)
出处 《东北师大学报(自然科学版)》 CAS 北大核心 2023年第1期35-39,共5页 Journal of Northeast Normal University(Natural Science Edition)
基金 国家自然科学基金青年基金资助项目(11901054) 国家自然科学基金数学天元基金资助项目(11926340,11926341).
关键词 生存分析 模型平均方法 区间删失数据 加速失效时间模型 预测 survival analysis model averaging method interval-censored data accelerated failure time model prediction
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