2016
DOI: 10.1186/s12940-016-0191-3
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Low dose radiation risks for women surviving the a-bombs in Japan: generalized additive model

Abstract: BackgroundAnalyses of cancer mortality and incidence in Japanese A-bomb survivors have been used to estimate radiation risks, which are generally higher for women. Relative Risk (RR) is usually modelled as a linear function of dose. Extrapolation from data including high doses predicts small risks at low doses. Generalized Additive Models (GAMs) are flexible methods for modelling non-linear behaviour.MethodsGAMs are applied to cancer incidence in female low dose subcohorts, using anonymous public data for the … Show more

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Cited by 5 publications
(6 citation statements)
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“…Under conditions such as these, the intensity of radiation exposure is low but it persists for years and can impact cancer frequency for decades or generations [85]. …”
Section: Cancer Initiation: Genomic Damage and Instabilitymentioning
confidence: 99%
See 1 more Smart Citation
“…Under conditions such as these, the intensity of radiation exposure is low but it persists for years and can impact cancer frequency for decades or generations [85]. …”
Section: Cancer Initiation: Genomic Damage and Instabilitymentioning
confidence: 99%
“…The potential importance of melatonin in reducing cancer incidence due to its basic action as a radioprotector also has implications for its possible use under circumstances of prolonged low dose radiation exposure [ 82 , 83 ] such as occurred in Europe following the Chernobyl accident or in the event of the detonation of a “radiological dirty bomb” [ 84 ]. Under conditions such as these, the intensity of radiation exposure is low but it persists for years and can impact cancer frequency for decades or generations [ 85 ].…”
Section: Cancer Initiation: Genomic Damage and Instabilitymentioning
confidence: 99%
“…To compensate, a model's fitted likelihood can be penalized by a term related to the number of parameters. A common choice for the likelihood penalty in radiation epidemiology (23,(46)(47)(48)(49), which we adopt here, is based on the AIC criterion (34,50), which in turn has roots in information theory (34). Researchers have other choices, including ''corrected'' AIC, ''consistent'' AIC, and Bayesian Information criterion (50), which may change results depending on sample size (50).…”
Section: Aic Selection Of Best Modelmentioning
confidence: 99%
“…Owing to a low toxicity—even at high doses—and the huge variety of beneficial effects showing, MEL is a potential bioactive compound to be considered as complementary therapy for the treatment of different types of cancer [ 109 ]. The relevance of MEL in reducing the incidence of cancer relies on its radioprotector capacity, as well as its possible use under the situation of prolonged low dose radiation exposure, which could rise the risk of developing cancer [ 110 ].…”
Section: Melatonin and Cancermentioning
confidence: 99%