JSM 2005 Online Program

Abstract #302799

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	382
Type:	Invited
Date/Time:	Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Biometrics Section
Abstract - #302799
Title:	Structural Equation Models in Environmental Epidemiology
Author(s):	Esben Budtz-Jorgensen*+
Companies:	University of Copenhagen
Address:	Department of Biostatistics, DK-2200 CPH N, , Denmark
Keywords:	Measurement error ; Multiple endpoints ; structural equations
Abstract:	Observational studies in epidemiology always involve concerns regarding validity, especially measurement error, confounding, missing data, and other problems that may affect the study outcomes. Widely used standard statistical techniques, such as multiple regression analysis, may to some extent adjust for these shortcomings. However, structural equations may incorporate most of these considerations, thereby providing overall adjusted estimations of associations. This approach was used in a large epidemiological dataset from a prospective study of developmental methylmercury toxicity. Structural equation models were developed for assessment of the association between biomarkers of prenatal mercury exposure and neuropsychological test scores in 7-year-old children and neurobehavioral outcomes were grouped into major nervous system functions.

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