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Activity Number:
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83
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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| Abstract - #307881 |
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Title:
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Rank Regression, Accelerated Failure Time Model, and Empirical Likelihood
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Author(s):
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Mai Zhou*+
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Companies:
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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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Survival Analysis ; Empirical Likelihood ; Censored Data ; AFT model ; Rank estimation ; R Software package
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Abstract:
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Accelerated Failure Time (AFT) model has long been recognized as a competent alternative to the Cox proportional hazards regression model. Yet AFT models did not see much action in practical problems, partly due to the availability of (or lack of) reliable inference method and software. Recent advances in the empirical likelihood (Owen 2001) methodology and R software have provided AFT model with some nice solutions. We first discuss some recent results of empirical likelihood analysis pertaining to the rank regression of the AFT model, and then examples of computation using R software will be demonstrated.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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