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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Online Access: | https://doi.org/10.2203/dose-response.11-019.Moghissi |
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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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AT aalanmoghissi linearnonthresholdseparatingfactsfromfiction AT bettyrlove linearnonthresholdseparatingfactsfromfiction AT sorinrstraja linearnonthresholdseparatingfactsfromfiction |
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