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Abstract Details
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Activity Number:
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518
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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ENAR
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| Abstract - #302438 |
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Title:
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Measurement Error in General Multivariate Linear Model
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Author(s):
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Tielin Qin*+ and Vicki S. Hertzberg
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Companies:
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Emory University and Emory University
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Address:
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1518 Clifton Road NE, ATLANTA, GA, 30322, US
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Keywords:
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Measurement error ;
pseudo MLE ;
EM algorithm
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Abstract:
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We are motivated by the need to modeling the true count of white blood cells in the Protective Immunity Project (PIP) study conducted at the Emory Transplant Center. The recorded data obtained from flow cytometer may contain measurement errors. General multivariate linear model are used, and the measurement errors are presented in the dependent variables only. The parameters in the measurement error model are estimated by using independent, external calibration data. The pseudo-maximum likelihood estimators and their asymptotic properties are developed. A simulation study is conducted to compare the performance of the pseudo MLE approach and the simply adjusted/imputed data approach.
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