학술논문
Semiparametric Estimation in the Proportional Hazard Model Accounting for a Misclassified Cause of Failure.
Document Type
Article
Author
Source
Subject
*CANCER
*MORTALITY
*NUMERICAL analysis
*ESTIMATION theory
*MATHEMATICAL statistics
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Language
ISSN
0006-341X
Abstract
Misclassified causes of failures are a common phenomenon in competing risks survival data such as cancer mortality. We propose new estimating equations for a semiparametric proportional hazards (PH) model with misattributed causes of failures. Unlike other methods, the estimator does not require any parametric assumptions on baseline cause-specific hazard rates. It is shown that the estimators for regression coefficients are consistent and asymptotically normal. Simulation results support the theoretical analysis in finite samples. The methods are applied to analyze prostate cancer survival. [ABSTRACT FROM AUTHOR]