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Abstract Details
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Activity Number:
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311
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 8:30 AM to 10:20 PM
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Sponsor:
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Section on Statistical Learning and Data Mining
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| Abstract - #303172 |
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Title:
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Assessing the Repeatability of Functional Data: Repeatability of Tissue Fluorescence Measurements for the Detection of Cervical Intraepithelial Neoplasia
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Author(s):
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Jose-Miguel Yamal*+ and E. Neely Atkinson and Dennis Cox and Michele Follen
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Companies:
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The University of Texas School of Public Health and The University of Texas MD Anderson Cancer Center and Rice University and Drexel University
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Address:
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1200 Herman Pressler, Houston, TX, 77030,
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Keywords:
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functional data ;
repeatability ;
cervical cancer ;
classification ;
linear mixed-effects
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Abstract:
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We examined the differences in 378 repeated spectroscopic measures of the cervix. To assess the repeatability of this functional data, we deconstructed the differences into a shape difference measure and an intensity difference measure. We then examined causes of variability and the importance of the order of measurements. Finally, we examined the classification concordance of cervical intraepithelial neoplasia between the repeat measurements.
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