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Identification of Mortality Risks in the Advancement of Old Age: Application of Proportional Hazard Models Based on the Stepwise Variable Selection and the Bayesian Model Averaging Approach

机译：鉴定老年人晋升中的死亡风险：基于逐步变量选择的比例危险模型和贝叶斯模型平均方法的应用

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Ewelina Łukaszyk; Katarzyna Bień-Barkowska; Barbara Bień;
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年度 2021
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1. Bayesian Model Selection and Averaging in Additive and Proportional Hazards Models [J] . DAVID B. DUNSON, AMY H. HERRING Lifetime Data Analysis . 2005,第2期

机译：加性和比例危害模型中的贝叶斯模型选择和平均
2. Bayesian variable selection under the proportional hazards mixed-effects model [J] . Kyeong Eun Lee, Yongku Kim, Ronghui Xu Computational statistics & data analysis . 2014,第Null期

机译：比例风险混合效应模型下的贝叶斯变量选择
3. Prediction of risks of sequence of events using multistage proportional hazards model: a marginal-conditional modelling approach [J] . Rafiqul I. Chowdhury, M. Ataharul Islam Statistical Methods and Applications . 2020,第1期

机译：使用多阶段比例风险模型预测事件序列的风险：边际条件建模方法
4. VARIABLE SELECTION IN PROPORTIONAL HAZARDS MODEL:DETERMINING TUNING VARIABLE BY AUC [C] . Wen-Chyi Wang, Grace Yang ISISS' 2011;International symposium on innovation sustainability of structures in civil engineering . 2011

机译：比例风险模型中的变量选择：通过AUC确定调整变量
5. Bayesian model averaging and variable selection in multivariate ecological models. [D] . Lipkovich, Ilya A. 2002

机译：多元生态模型中的贝叶斯模型平均和变量选择。
6. Identification of Mortality Risks in the Advancement of Old Age: Application of Proportional Hazard Models Based on the Stepwise Variable Selection and the Bayesian Model Averaging Approach [O] . Ewelina Łukaszyk, Katarzyna Bień-Barkowska, Barbara Bień 2021

机译：鉴定老年人晋升中的死亡风险：基于逐步变量选择的比例危险模型和贝叶斯模型平均方法的应用
7. A Stepwise Variable Selection for a Cox Proportional Hazards Cure Model with Application to Breast Cancer Data [O] . Junichi Asano, Akihiro Hirakawa, Chikuma Hamada 2013

机译：Cox比例危害固化模型的逐步变量选择，应用于乳腺癌数据

Identification of Mortality Risks in the Advancement of Old Age: Application of Proportional Hazard Models Based on the Stepwise Variable Selection and the Bayesian Model Averaging Approach

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