Genetic analysis with hierarchical models

Genetic Epidemiology
J S Witte

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.

References

Mar 1, 1989·American Journal of Public Health·S Greenland
Dec 1, 1985·American Journal of Epidemiology·D C ThomasB G Armstrong
Apr 1, 1996·Nature Genetics·J S WitteN J Schork
Jan 1, 1995·Genetic Epidemiology·L R GoldinE S Gershon
Jun 15, 1996·Statistics in Medicine·J S Witte, S Greenland

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Citations

Mar 22, 2005·Nursing Research·Carole A EstabrooksPhyllis Giovannetti
Nov 13, 2010·PloS One·Thomas J HoffmannJohn S Witte
Jun 21, 2011·PloS One·Brooke L FridleyThomas A Sellers
Feb 7, 2008·American Journal of Human Genetics·Lydia Coulter KweeMichael P Epstein
Aug 2, 2007·American Journal of Human Genetics·Gary K Chen, John S Witte
Jan 15, 2003·American Journal of Human Genetics·David V Conti, John S Witte
Jul 4, 2018·Genetic Epidemiology·Amit D JoshiJiali Han
Apr 17, 2008·Epidemiology·Patrick Graham
Sep 3, 2005·Human Heredity·T Mark BeasleyDavid Allison
Feb 25, 2005·American Journal of Pharmacogenomics : Genomics-related Research in Drug Development and Clinical Practice·Julian LittleMarta Gwinn
Aug 23, 2006·American Journal of Epidemiology·Parveen BhattiAlice J Sigurdson
Feb 16, 2007·Epidemiology·Duncan C ThomasSander Greenland
Oct 31, 2000·Epidemiology·J S WitteL Arab

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