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A NUMERICAL STUDY ON BOOTSTRAP CONFIDENCE INTERVALS OF REGRESSION COEFFICIENTS IN THE COX MODEL FOR COMPETING RISKS WITH MISSING FAILURE TYPES

机译：缺失失败类型竞争风险的COX模型中的回归系数的引导系数的对置型置信间隔的数值研究

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Isao Hemmi;
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年度 2004
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1. Semiparametric estimators for the regression coefficients in the linear transformation competing risks model with missing cause of failure [J] . Gao GZ, Tsiatis AA Biometrika . 2005,第4期

机译：缺失失败原因的线性变换竞争风险模型中回归系数的半参数估计
2. Multiple imputation methods for estimating regression coefficients in the competing risks model with missing cause of failure. [J] . Lu K, Tsiatis AA Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2001,第4期

机译：在缺少失败原因的竞争风险模型中，用于估计回归系数的多种估算方法。
3. Additive-multiplicative hazards regression models for interval-censored semi-competing risks data with missing intermediate events [J] . Jinheum Kim, Jayoun Kim, Seong W. Kim BMC Medical Research Methodology . 2019,第1期

机译：具有中间事件缺失的区间删失半竞争风险数据的加法乘积风险回归模型
4. Confidence Intervals for the Risks of Regression Models [C] . Imhoi Koo, Rhee Man Kil Neural Information Processing pt.1; Lecture Notes in Computer Science; 4232 . 2006

机译：回归模型风险的置信区间
5. Estimation of regression coefficients in the competing risks model with missing cause of failure. [D] . Lu, Kaifeng. 2002

机译：缺少失败原因的竞争风险模型中回归系数的估计。
6. Additive-multiplicative hazards regression models for interval-censored semi-competing risks data with missing intermediate events [O] . Jinheum Kim, Jayoun Kim, Seong W. Kim 2019

机译：具有中间事件缺失的区间删失半竞争风险数据的加法乘积风险回归模型
7. Semiparametric regression on cumulative incidence function with interval-censored competing risks data and missing event types [O] . Jun Park, Giorgos Bakoyannis, Ying Zhang, 2021

机译：累积发生率与间隔竞争风险数据和丢失事件类型的半粉末回归
8. Study of Bootstrap Confidence Intervals in a Cox Model [R] . Burr, D. 1992

机译：Cox模型中Bootstrap置信区间的研究

A NUMERICAL STUDY ON BOOTSTRAP CONFIDENCE INTERVALS OF REGRESSION COEFFICIENTS IN THE COX MODEL FOR COMPETING RISKS WITH MISSING FAILURE TYPES

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