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Activity Number:
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514
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Type:
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Contributed
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Date/Time:
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Thursday, August 7, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #302571 |
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Title:
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A Fast Algorithm for the Nonparametric MLE of the Distribution Function with Censored Data
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Author(s):
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Yaming Yu*+
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Companies:
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University of California, Irvine
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Address:
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, , CA, 92697,
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Keywords:
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bivariate censored data ; doubly censored data ; EM ; ICM ; vertex exchange method
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Abstract:
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A fast and easy-to-implement algorithm is proposed to compute the nonparametric maximum likelihood estimator (NPMLE) for the distribution function with censored data. Based on a simple enhancement of expectation-maximization (EM) and the vertex exchange method (VEM), this algorithm is competitive with the very effective EM/ICM algorithm of Wellner and Zhan (1997) in the univariate case, and far superior to either EM or VEM in the case of bivariate interval censored data. The method is illustrated by simulations and real data from an AIDS study.
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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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