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Activity Number:
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116
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #304150 |
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Title:
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Evaluating Prenatal PCB Exposure in Relation to Cognitive Function in Children with a Partial Linear Model
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Author(s):
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Haibo Zhou and Guoyou Qin*+ and Matthew Longnecker
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Companies:
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The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill and National Institute of Environmental Health Sciences
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Address:
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Department of Biostatistics, Chapel Hill, NC, 27599,
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Keywords:
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Cost-effective designs ; Empirical likelihood ; Outcome dependent sampling ; Partial linear model ; Polychlorinated biphenyls ; P-spline
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Abstract:
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Outcome-dependent sampling (ODS) has been widely used in biomedical studies because it is a cost effective way to improve study efficiency. However, in the setting of a continuous outcome, the representation of the exposure variable has been limited to the framework of linear models. In this article, we consider a case-study for a partial linear model for data from an ODS design. We develop the asymptotic properties and conduct simulation studies to show that the proposed ODS estimator can produce a more efficient estimate than that from a traditional simple random sampling design with the same sample size. Using this newly developed method, we were able to explore an open question in epidemiology: whether in utero exposure to background levels of PCBs is associated with children's intellectual impairment. These results could help to improve assessment of risks associated with exposure.
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