This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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225
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 2, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #306514 |
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Title:
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Design and Analysis of Bioassay Experiments, Risk Issues
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Author(s):
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Michael E. Tarter*+
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Companies:
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University of California, Berkeley
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Address:
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School of Public Health, Berkeley, CA, 94720,
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Keywords:
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almond ;
coefficient of variation ;
homoscedasticity ;
interval endpoints ;
rodent ;
threshold parameter
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Abstract:
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Two types of bioassay are outlined and compared, offending substance experimental animal toxicity studies and food spoilage assessments. For both types of bioassay, variate transformation procedures can facilitate the application of modern model-free curve estimation approaches. With the help of these procedures, two risk-related statistical issues, density curve asymmetry and density curve model truncation, can be dealt with simultaneously. Given that a three-parameter lognormal model is assumed that is either one or two-tail truncated, the Burmann's Theorem generalization of the Taylor-Maclauren Theorem can help researchers deal with density asymmetry and model truncation.
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Authors who are presenting talks have a * after their name.
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