If You Torture Your Data Long Enough, It Will Confess to Anything: On the Epidemiological Basis of the LNT Model.

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  • Author(s): Socol Y;Socol Y
  • Source:
    Health physics [Health Phys] 2024 Jun 01; Vol. 126 (6), pp. 424-425. Date of Electronic Publication: 2024 Apr 03.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985093R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1538-5159 (Electronic) Linking ISSN: 00179078 NLM ISO Abbreviation: Health Phys Subsets: MEDLINE
    • Publication Information:
      Publication: <2003->: Hagerstown, MD : Lippincott Williams & Wilkins
      Original Publication: New York.
    • Subject Terms:
    • Abstract:
      This note deals with epidemiological data interpretation supporting the linear no-threshold model, as opposed to emerging evidence of adaptive response and hormesis from molecular biology in vitro and animal models. Particularly, the US-Japan Radiation Effects Research Foundation's lifespan study of atomic bomb survivors is scrutinized. We stress the years-long lag of the data processing after data gathering and evolving statistical models and methodologies across publications. The necessity of cautious interpretation of radiation epidemiology results is emphasized.
      Competing Interests: The author declares no conflicts of interest.
      (Copyright © 2024 Health Physics Society.)
    • References:
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      Socol Y. Dilepton production in Pb-Au collisions at 158 GeV per nucleon using the CERES detector. Revovot, Israel: Weizmann Institute of Science; 1999. Thesis. Available at SSRN: http://dx.doi.org/10.2139/ssrn.4130947 . Accessed 21 September 2021.
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    • Publication Date:
      Date Created: 20240403 Date Completed: 20240424 Latest Revision: 20240424
    • Publication Date:
      20240425
    • Accession Number:
      10.1097/HP.0000000000001775
    • Accession Number:
      38568175