title: Genetic analysis with hierarchical models.
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.
authors.affiliation: Department of Epidemiology and Biostatistics, Rammelkamp Center for Education and Research, Case Western Reserve University, Cleveland, Ohio 44109, USA.
authors.forename: J S
authors.initials: JS
authors.lastname: Witte
mesh_terms: D001499:Bayes Theorem; D008040:Genetic Linkage; D006801:Humans; D008957:Models, Genetic; D015233:Models, Statistical; D012307:Risk Factors