Document Detail


Proportional hazards model for competing risks data with missing cause of failure.
MedLine Citation:
PMID:  22468017     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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 Lu and Tsiatis (2001). The application of the proposed method is illustrated using data from a bone marrow transplant study.
Authors:
Seunggeun Hyun; Jimin Lee; Yanqing Sun
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-2-21
Journal Detail:
Title:  Journal of statistical planning and inference     Volume:  142     ISSN:  0378-3758     ISO Abbreviation:  -     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-4-2     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101250629     Medline TA:  J Stat Plan Inference     Country:  -    
Other Details:
Languages:  ENG     Pagination:  1767-1779     Citation Subset:  -    
Affiliation:
Division of Mathematics and Computer Science, University of South Carolina Upstate, Spartanburg, SC 29303, USA.
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