Linear Non-Threshold: Separating Facts from Fiction

The Linear Non-Threshold (LNT) process is used by virtually all governmental agencies to compute incidence of cancer as a consequence of exposure to a carcinogen. This comment applies the concept of Best Available Science (BAS) Metrics for Evaluation of Scientific Claims (MESC) derived from BAS to i...

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Main Authors: A. Alan Moghissi, Betty R. Love, Sorin R. Straja
Format: Article
Language:English
Published: SAGE Publishing 2012-04-01
Series:Dose-Response
Online Access:https://doi.org/10.2203/dose-response.11-019.Moghissi
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spelling doaj-98e2f011bc8340aabf9f9a790492a4b92020-11-25T02:58:20ZengSAGE PublishingDose-Response1559-32582012-04-011010.2203/dose-response.11-019.MoghissiLinear Non-Threshold: Separating Facts from FictionA. Alan MoghissiBetty R. LoveSorin R. StrajaThe Linear Non-Threshold (LNT) process is used by virtually all governmental agencies to compute incidence of cancer as a consequence of exposure to a carcinogen. This comment applies the concept of Best Available Science (BAS) Metrics for Evaluation of Scientific Claims (MESC) derived from BAS to issues related to reliability of LNT hypothesis. This paper identifies the level of maturity of the LNT hypothesis and the associated uncertainties.https://doi.org/10.2203/dose-response.11-019.Moghissi
collection DOAJ
language English
format Article
sources DOAJ
author A. Alan Moghissi
Betty R. Love
Sorin R. Straja
spellingShingle A. Alan Moghissi
Betty R. Love
Sorin R. Straja
Linear Non-Threshold: Separating Facts from Fiction
Dose-Response
author_facet A. Alan Moghissi
Betty R. Love
Sorin R. Straja
author_sort A. Alan Moghissi
title Linear Non-Threshold: Separating Facts from Fiction
title_short Linear Non-Threshold: Separating Facts from Fiction
title_full Linear Non-Threshold: Separating Facts from Fiction
title_fullStr Linear Non-Threshold: Separating Facts from Fiction
title_full_unstemmed Linear Non-Threshold: Separating Facts from Fiction
title_sort linear non-threshold: separating facts from fiction
publisher SAGE Publishing
series Dose-Response
issn 1559-3258
publishDate 2012-04-01
description The Linear Non-Threshold (LNT) process is used by virtually all governmental agencies to compute incidence of cancer as a consequence of exposure to a carcinogen. This comment applies the concept of Best Available Science (BAS) Metrics for Evaluation of Scientific Claims (MESC) derived from BAS to issues related to reliability of LNT hypothesis. This paper identifies the level of maturity of the LNT hypothesis and the associated uncertainties.
url https://doi.org/10.2203/dose-response.11-019.Moghissi
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