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Genetic analysis with hierarchical models
1Department of Epidemiology and Biostatistics, Rammelkamp Center for Education and Research, Case Western Reserve University, Cleveland, Ohio 44109, USA.
Genetic Epidemiology
|January 1, 1997
Abstract:
During the Genetic Analysis Workshop 9 presentations [Goldin et al., 1995] a brief discussion took place about the value of empirical-Bayes methods in genetic analysis. Due to the informal nature of this discussion, the improvements available for analyzing data with this approach--and with the broader class of hierarchical models--were not clearly presented. As a methodologic contribution, I further explore how one can use this potentially valuable technique in analysis of genetic data, including data similar to those given in GAW10.