2013
DOI: 10.1007/s00411-012-0453-6
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Comment on “Dose-responses from multi-model inference for the non-cancer disease mortality of atomic bomb survivors” (Radiat. Environ. Biophys (2012) 51:165–178) by Schöllnberger et al.

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Cited by 12 publications
(11 citation statements)
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“…For the detrimental health outcomes of heart diseases and stroke there is, however, no healthy survivor selection effect. This has recently been confirmed by Schöllnberger et al (23) following the comments of Little et al (22). Shimizu et al (21) found an ERR of 0.14 (95% CI, 0.06–0.23) for heart disease and an ERR of 0.09 (95% CI, 0.01–0.17) for stroke based on the LNT model.…”
Section: Cardiovascular Disease Risk Related To Low Doses Of Ionizmentioning
confidence: 54%
“…For the detrimental health outcomes of heart diseases and stroke there is, however, no healthy survivor selection effect. This has recently been confirmed by Schöllnberger et al (23) following the comments of Little et al (22). Shimizu et al (21) found an ERR of 0.14 (95% CI, 0.06–0.23) for heart disease and an ERR of 0.09 (95% CI, 0.01–0.17) for stroke based on the LNT model.…”
Section: Cardiovascular Disease Risk Related To Low Doses Of Ionizmentioning
confidence: 54%
“…Schollnberger et al [52], analyzing somewhat older Japanese atomic bomb survivor data, concluded that for CeVD and cardiovascular disease, risk estimates are compatible with no risk below threshold doses of 0.62 and 2.19 Gy respectively. However, this analysis is controversial [53]. The analysis of Table 5 suggests that a threshold of the order of 0.5 Gy is marginally inconsistent with the pattern of radiogenic excess risk observed in the Massachusetts tuberculosis fluoroscopy sub-cohort.…”
Section: Discussionmentioning
confidence: 95%
“…Although not explicitly Bayesian, MMI is somewhat related to Bayesian model-averaging and similar Bayesian techniques (Wang et al 2012); these Bayesian methods have the advantage of assessing the parameter uncertainty distribution more thoroughly; it may be judged that the method of Schöllnberger et al does not adequately assess the uncertainties in model parameters, which Bayesian techniques can better address (Wang et al 2012). Moreover, it is doubtful that models incorporating thresholds as employed by Schöllnberger et al (Schöllnberger et al 2012) should be fitted to the Japanese atomic bomb survivor Life Span Study (LSS) cohort’s circulatory disease endpoints or any other data of this sort, as discussed elsewhere (Little et al 2013a). There are other aspects of the analysis of Schöllnberger et al (Schöllnberger et al 2012) that are also controversial (Little et al 2013a; Schöllnberger et al 2013).…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, it is doubtful that models incorporating thresholds as employed by Schöllnberger et al (Schöllnberger et al 2012) should be fitted to the Japanese atomic bomb survivor Life Span Study (LSS) cohort’s circulatory disease endpoints or any other data of this sort, as discussed elsewhere (Little et al 2013a). There are other aspects of the analysis of Schöllnberger et al (Schöllnberger et al 2012) that are also controversial (Little et al 2013a; Schöllnberger et al 2013). …”
Section: Discussionmentioning
confidence: 99%