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Abstract Details
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Activity Number:
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572
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #304144 |
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Title:
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Testing CV Effects Using Ultrasound Imaging Biomarkers
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Author(s):
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Shubing Wang*+
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Companies:
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Merck
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Address:
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126 East Lincoln Avenue, Rahway, NJ, 07065, United States
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Keywords:
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Cardiovascular ;
preclinical ;
ultrasound imaging ;
cell-mean
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Abstract:
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Advances in technology leads to faster and more accurate acquisition of ultrasound imaging biomarkers, which make ultrasound imaging one of the standard platforms of the testing Cardiovascular (CV) effects in the preclinical trails. The challenges of the statistical analysis of ultrasound imaging biomarkers present in the following aspects: 1) the biomarkers are not randomized at the baseline; 2) the percents of missing data is high; 3) many biomarkers are scanned at the same time points; 4) the searching of "leading biomarkers" causes multiplicity problems. We design a completely automated system by implementing a cell-mean mixed effects model which deals with the non-randomized baselines, effectively handles missing data issues, processes multiple biomarkers in a batch model, and applies False Discover Rate (FDR) method handling multiplicity adjustments.
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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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