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Activity Number:
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609
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Type:
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Contributed
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Date/Time:
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Thursday, August 6, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #304924 |
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Title:
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Inverse Probability of Censoring Weighting and Regularized Estimation in AFT Models
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Author(s):
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Mai Zhou*+ and Liping Huang
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Companies:
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University of Kentucky and University of Kentucky
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Address:
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Department of Statistics, Lexington, KY, 40506-0027,
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Keywords:
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Bioinformatics ; Microarray data ; LASSO/E-net ; High dimensionl data ; Censored Regression
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Abstract:
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Inverse probability of censor weighting method has many applications in survival analysis. In particular, it has been successfully used in the analysis of the accelerated failure time (AFT) models. We propose some modifications to the weighting of the largest observation. We show that in medium to heavy censoring case, the modified weighting produce better results. Application to the regularized estimation with microarray data using LASSO/E-net are illustrated.
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