Proportional hazards model for competing risks data with missing cause of failure

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• 作者：Seunggeun Hyun^a ; ^{shyun@uscupstate.edu} ; Jimin Lee^b ; ^{happywoman@gmail.com} ; ^{jlee@unca.edu} ; Yanqing Sun^c ; ^{yasun@uncc.edu}
• 关键词：Asymptotic property ; Augmented inverse probability weighted estimator ; Cause-specific hazard function ; Double robust property ; Inverse probability weighted estimator ; Missing cause of failure ; Multiple imputation
• 刊名：Journal of Statistical Planning and Inference
• 出版年：2012
• 期刊代码：36_03783758
• 类别：mt
• 出版时间：July, 2012
• 卷：142
• 期：7
• 页码：1767-1779
• 文件大小：246 K

摘要

We consider the semiparametric proportional hazards model for the cause-specific hazard function in analysis of competing risks data with missing cause of failure. The inverse probability weighted equation and augmented inverse probability weighted equation are proposed for estimating the regression parameters in the model, and their theoretical properties are established for inference. Simulation studies demonstrate that the augmented inverse probability weighted estimator is doubly robust and the proposed method is appropriate for practical use. The simulations also compare the proposed estimators with the multiple imputation estimator of . The application of the proposed method is illustrated using data from a bone marrow transplant study.