منابع مشابه
Local Buckley-james Estimation for Heteroscedastic Accelerated Failure Time Model.
In survival analysis, the accelerated failure time model is a useful alternative to the popular Cox proportional hazards model due to its easy interpretation. Current estimation methods for the accelerated failure time model mostly assume independent and identically distributed random errors, but in many applications the conditional variance of log survival times depend on covariates exhibiting...
متن کاملEmpirical likelihood analysis of the Buckley-James estimator.
The censored linear regression model, also referred to as the accelerated failure time (AFT) model when the logarithm of the survival time is used as the response variable, is widely seen as an alternative to the popular Cox model when the assumption of proportional hazards is questionable. Buckley and James [Linear regression with censored data, Biometrika 66 (1979) 429-436] extended the least...
متن کاملDoubly penalized buckley-james method for survival data with high-dimensional covariates.
Recent interest in cancer research focuses on predicting patients' survival by investigating gene expression profiles based on microarray analysis. We propose a doubly penalized Buckley-James method for the semiparametric accelerated failure time model to relate high-dimensional genomic data to censored survival outcomes, which uses the elastic-net penalty that is a mixture of L1- and L2-norm p...
متن کاملBuckley-James Estimator of AFT Models with Auxiliary Covariates
In this paper we study the Buckley-James estimator of accelerated failure time models with auxiliary covariates. Instead of postulating distributional assumptions on the auxiliary covariates, we use a local polynomial approximation method to accommodate them into the Buckley-James estimating equations. The regression parameters are obtained iteratively by minimizing a consecutive distance of th...
متن کاملA Renovated Cook’s Distance Based On The Buckley-James Estimate In Censored Regression
There have been various methods created based on the regression ideas to resolve the problem of data set containing censored observations, i.e. the Buckley-James method, Miller’s method, Cox method, and Koul-Susarla-Van Ryzin estimators. Even though comparison studies show the Buckley-James method performs better than some other methods, it is still rarely used by researchers mainly because of ...
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ژورنال
عنوان ژورنال: Alphanumeric Journal
سال: 2019
ISSN: 2148-2225
DOI: 10.17093/alphanumeric.330039