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Information Metrics in Genetic Epidemiology

Author

Listed:
  • Tritchler David L

    (State University of New York at Buffalo)

  • Sucheston Lara

    (Roswell Park Cancer Institute)

  • Chanda Pritam

    (State University of New York at Buffalo)

  • Ramanathan Murali

    (State University of New York at Buffalo)

Abstract

Information-theoretic metrics have been proposed for studying gene-gene and gene-environment interactions in genetic epidemiology. Although these metrics have proven very promising, they are typically interpreted in the context of communications and information transmission, diminishing their tangibility for epidemiologists and statisticians.

Suggested Citation

  • Tritchler David L & Sucheston Lara & Chanda Pritam & Ramanathan Murali, 2011. "Information Metrics in Genetic Epidemiology," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-20, February.
    • Handle: RePEc:bpj:sagmbi:v:10:y:2011:i:1:n:12
    DOI: 10.2202/1544-6115.1569
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