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Activity Number:
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67
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2007 : 4:00 PM to 5:50 PM
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Sponsor:
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ENAR
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| Abstract - #309005 |
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Title:
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Pool-Testing Samples with Random Intercept
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Author(s):
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Peng Chen*+ and Joshua M. Tebbs
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Companies:
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University of South Carolina and University of South Carolina
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Address:
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100 Riverbend Drive, West Columbia, SC, 29169,
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Keywords:
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pool testing ; random intercept ; MCEM algorithm ; GLMM
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Abstract:
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In this paper, we extended the regression model discussed in Vansteelant etc. (2000) by introducing a random site effect. The maximum likelihood estimate of parameters are discussed. Both direct maximization via numerical qudarartures and Monte Carlo EM algorithm are proposed. Variance-covariance matrix for MLE are computed, a likelihood-based test for random effect are derived.
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