Joellen M. Schildkraut

  1. Bayesian model search and multilevel inference for SNP association studies.

    Authors: Melanie A. Wilson, Edwin S. Iversen, Merlise A. Clyde, Scott C. Schmidler, Joellen M. Schildkraut
    Subjects: Applications
    Abstract

    Technological advances in genotyping have given rise to hypothesis-based
    association studies of increasing scope. As a result, the scientific hypotheses
    addressed by these studies have become more complex and more difficult to
    address using existing analytic methodologies. Obstacles to analysis include
    inference in the face of multiple comparisons, complications arising from
    correlations among the SNPs (single nucleotide polymorphisms), choice of their
    genetic parameterization and missing data.

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