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Activity Number:
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33
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #308455 |
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Title:
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Exposure-Response Assessment of Airborne Indoor Allergen Immunoassay
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Author(s):
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Juan Liang*+ and Linda Levin and Tiina Reponen and Grace LeMasters and David Bernstein and Rolanda Olds and Zana Lummus
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Companies:
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University of Cincinnati and University of Cincinnati and University of Cincinnati and University of Cincinnati and University of Cincinnati and University of Cincinnati and University of Cincinnati
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Address:
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Department of Environmental Health, Cincinnati, OH, 45267,
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Keywords:
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Four Parameter Logistic ; Nonlinear Mixed Model ; Immunoassay
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Abstract:
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This study is to apply state-of-the-art statistical techniques to the analysis of allergen assay data. Ultimately it will unify statistical methodology for estimating allergen concentrations. Data were from the Cincinnati Childhood Allergy and Air Pollution Study (CCAAPS). As part of a birth cohort study, dust samples from homes of infants in the Greater Cincinnati Area were analyzed by using monoclonal ELISA. Four-parameter logistic models were chosen. NLMIXED with heterogeneous variance structure was utilized to describe within- and between-assay variability in order to determine the standard exposure-response curves. By reversing the estimated standard curves, detection limits and calibrated concentrations of allergens were obtained. It was shown that the precision of estimated concentrations was substantially improved and the limits of the detection were quantified.
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