Abstract #300690

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JSM 2003 Abstract #300690
Activity Number: 67
Type: Invited
Date/Time: Monday, August 4, 2003 : 8:30 AM to 10:20 AM
Sponsor: Journal of Agricultural, Biological and Environmental Stats (JABES)
Abstract - #300690
Title: Bayesian Hierarchical Models for the Synthesis of Multiple Outcomes from Multiple Studies
Author(s): Brent Coull*+ and Maura Mezzetti and Louise M. Ryan
Companies: Harvard School of Public Health and European Institue of Oncology and Harvard School of Public Health
Address: 4th Floor/Dept. of Biostatistics, Boston, MA, 02115-6009,
Keywords: risk assessment ; multiple outcomes ; benchmark dose ; neurotoxicology ; hierarchical model
Abstract:

Historically, the default approach in environmental risk assessment has been to choose a single study as the basis upon which to develop regulatory standards. Often, however, a careful synthesis of information over several endpoints from several different studies may provide a more reliable and appropriate basis for risk assessment. We explore the use of Bayesian hierarchical models as a meta-analytic tool for such multi-outcome, multi-study environmental risk assessments. Issues we consider include sample size requirements for the validity of existing two-stage approximations to a fully Bayesian analysis, adjustments for varying study quality, and the estimation of a global Benchmark Dose. We apply the methods to data from a National Academy of Sciences project evaluating the effect of in-utero methylmercury exposure on multiple neurological outcomes.

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