Tree-structured subgroup analysis for censored survival data: Validation of computationally inexpensive model selection criteria

ABDISSA NEGASSA; ANTONIO CIAMPI; MICHAL ABRAHAMOWICZ; STANLEY SHAPIRO; JEAN-FRANCOIS BOIVIN

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Tree-structured subgroup analysis for censored survival data: Validation of computationally inexpensive model selection criteria

机译：用于检查的生存数据的树状亚组分析：验证计算上便宜的模型选择标准

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The performance of computationally inexpensive model selection criteria in the context of tree-structured subgroup analysis is investigated. It is shown through simulation that no single model selection criterion exhibits a uniformly superior performance over a wide range of scenarios. Therefore, a two-stage approach for model selection is proposed and shown to perform satisfactorily. Applied example of subgroup analysis is presented. Problems associated with tree-structured subgroup analysis are discussed and practical solutions are suggested.

机译：在树结构子组分析的上下文中，研究了计算上便宜的模型选择标准的性能。通过仿真显示，没有一个模型选择标准可以在广泛的场景中表现出一致的优越性能。因此，提出了一种两阶段的模型选择方法，该方法显示了令人满意的性能。给出了亚组分析的应用实例。讨论了与树结构子组分析相关的问题，并提出了切实可行的解决方案。

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《Statistics and computing》 |2005年第3期|p.231-239|共9页
作者
ABDISSA NEGASSA; ANTONIO CIAMPI; MICHAL ABRAHAMOWICZ; STANLEY SHAPIRO; JEAN-FRANCOIS BOIVIN;
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作者单位

Department of Epidemiology and Population Health, Albert Einstein College of Medicine of Yeshiva University, Bronx NY, USA;

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原文格式 PDF
正文语种 eng
中图分类统计学;
关键词
censored survival data; regression tree; model selection; two-stage approach; subgroup analysis;

机译：删失生存数据;回归树;模型选择;两阶段方法;亚组分析;

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1. ARDO VAN DEN HOUT . Multi‐State Survival Models for Interval‐Censored Data . Boca Raton : CRC Press . ARDO VAN DEN HOUT ARDO ARDO VAN DEN HOUT VAN DEN HOUT . Multi‐State Survival Models for Interval‐Censored Data Multi‐State Survival Models for Interval‐Censored Data . Boca Raton Boca Raton : CRC Press CRC Press . [J] . Jackson Christopher Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2018,第2期

机译：Ardo van den Hout。用于间隔删除数据的多态生存模型。 Boca Raton：CRC压力机。 Ardo van den Hout Ardo Ardo van den Hout Van Den Hout。用于间隔缓冲数据的多态生存模型，用于间隔禁用数据的多状态生存模型。 Boca Raton Boca Raton：CRC按CRC压力机。
2. An empirical approach to model selection through validation for censored survival data [J] . ChoiI., WellsB.J., YuC., Journal of biomedical informatics. . 2011,第4期

机译：通过审查生存数据验证模型选择的经验方法
3. Bayesian Analysis and Model Selection for Interval-Censored Survival Data [J] . Debejyoti Sinha, Ming-Hui Chen, Sujit K. Ghosh Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 1999,第2期

机译：区间删失生存数据的贝叶斯分析和模型选择
4. A new tool for survival analysis: evolutionary programming/evolutionary strategies (EP/ES) support vector regression hybrid using both censored/non-censored (event) data [C] . Walker H. Land, Xingye Qiao, Dan Margolis, Complex Adaptive Systems . 2011

机译：生存分析的新工具：进化编程/进化策略（EP / ES）支持矢量回归混合使用截取/非审查（事件）数据
5. Bayesian Analysis of Survival Data with Missing Censoring Indicators and Simulation of Interval Censored Data [D] . Bunn, Veronica. 2018

机译：缺少检查指标的生存数据的贝叶斯分析和间隔检查数据的模拟
6. Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention [O] . Omneya Attallah, Alan Karthikesalingam, Peter J. E. Holt, 2017

机译：通过验证和未经检查的血管内修复生存数据来选择特征以预测再次介入的风险
7. An empirical approach to model selection through validation for censored survival data [O] . Choi Ickwon, Wells Brian J., Yu Changhong, 2011

机译：通过审查生存数据验证模型选择的经验方法
8. Selection of Elementary Maintenance Rules, with Special Reference to the Estimation of the Survival Function from Censored Data [R] . Geurts, J. H. J. 1986

机译：基本维护规则的选择，特别是对截尾数据生存函数的估计

Tree-structured subgroup analysis for censored survival data: Validation of computationally inexpensive model selection criteria

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