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Reply to Little et al.: dose–responses from multi-model inference for the non-cancer disease mortality of atomic bomb survivors

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Notes

  1. A confounder or confounding variable correlates with both the outcome and the risk factor investigated. For example, given a dose of radiation and an outcome, in the form of an excess risk at a given dose level, then a variable is a confounder if it is correlated with both the outcome and the dose.

References

  • Crainiceanu CM, Dominici F, Parmigiani G (2008) Adjustment uncertainty in effect estimation. Biometrika 95:635–651

    Article  MathSciNet  MATH  Google Scholar 

  • Dominici F, McDermott A, Hastie TJ (2004) Improved semiparametric time series models of air pollution and mortality. J Am Stat Assoc 99:938–948

    Article  MathSciNet  MATH  Google Scholar 

  • Gutman R, Rubin DB (2012) Analyses that inform policy decisions. Biometrics 68:671–675

    Article  MATH  Google Scholar 

  • Little MP, Bazyka D, Bouffler SD, Harrison JD, Cardis E, Cucinotta FA, Kreuzer M, Laurent O, Tapio S, Wakeford R, Zablotska L, Lipshultz SE (2012) Estimating risk of circulatory disease: Little et al. Respond. Environ Health Perspect 120:A 453–A 454. doi:10.1289/ehp.1206046R

    Article  Google Scholar 

  • Little MP, Azizova TV, Bazyka D, Bouffler SD, Cardis E, Chekin S, Chumak VV, Cucinotta FA, de Vathaire F, Hall P, Harrison JD, Hildebrandt G, Ivanov V, Kashcheev VV, Klymenko SV, Laurent O, Ozasa K, Tapio S, Taylor AM, Tzoulaki I, Vandoolaeghe WL, Wakeford R, Zablotska L, Zhang W, Lipshultz SE (2013) Comment on “Dose-responses from multi-model inference for the non-cancer disease mortality of atomic bomb survivors” by Schöllnberger et al. Radiat Environ Biophys, doi:10.1007/s00411-012-0453-6

  • Mitchel REJ, Hasu M, Bugden M, Wyatt H, Little MP, Gola A, Hildebrandt G, Priest ND, Whitman SC (2011) Low-dose radiation exposure and atherosclerosis in ApoE −/− mice. Radiat Res 175:665–676

    Article  Google Scholar 

  • Mitchel REJ, Hasu M, Bugden M, Wyatt H, Hildebrandt G, Chen Y-X, Priest ND, Whitman SC (2013) Low dose radiation exposure and protection against atherosclerosis in ApoE −/− mice: the influence of p53 heterozygosity. Radiat Res. doi:10.1667/RR3140.1

  • Ozasa K, Shimizu Y, Suyama A, Kasagi F, Soda M, Grant EJ, Sakata R, Sugiyama H, Kodama K (2012) Studies of the mortality of atomic bomb survivors, report 14, 1950–2003: an overview of cancer and non cancer diseases. Radiat Res 177:229–243

    Article  Google Scholar 

  • Preston DL, Shimizu Y, Pierce DA, Suyama A, Mabuchi K (2003) Studies of mortality of atomic bomb survivors. Report 13: solid cancer and noncancer disease mortality: 1950–1997. Radiat Res 160:381–407

    Article  Google Scholar 

  • Rödel F, Frey B, Gaipl U, Keilholz L, Fournier C, Manda K, Schöllnberger H, Hildebrandt G, Rödel C (2012) Modulation of inflammatory immune reactions by low-dose ionizing radiation: molecular mechanisms and clinical application. Curr Med Chem 19:1741–1750

    Article  Google Scholar 

  • Schöllnberger and Kaiser (2012) Estimating risk of circulatory disease from exposure to low-level ionizing radiation. Environ Health Perspect 120:A 452–A 453. doi:10.1289/ehp.1206046

    Google Scholar 

  • Schöllnberger H, Kaiser JC, Jacob P, Walsh L (2012) Dose-responses from multi-model inference for the non-cancer disease mortality of atomic bomb survivors. Radiat Environ Biophys 51:165–178

    Article  Google Scholar 

  • Shimizu Y, Kodama K, Nishi N, Kasagi F, Suyama A, Soda M, Grant EJ, Sugiyama H, Sakata R, Moriwaki H, Hayashi M, Konda M, Shore RE (2010) Radiation exposure and circulatory disease risk: Hiroshima and Nagasaki atomic bomb survivor data, 1950–2003. BMJ 340:b5349

    Article  Google Scholar 

  • Takahashi I, Abbott RD, Ohshita T, Takahashi T, Ozasa K, Akahoshi M, Fujiwara S, Kodama K, Matsumoto M (2012) A prospective follow-up study of the association of radiation exposure with fatal and non-fatal stroke among atomic bomb survivors in Hiroshima and Nagasaki (1980–2003). BMJ Open 2(1):e000654

    Article  Google Scholar 

  • Walsh L (2012) Neutron relative biological effectiveness for solid cancer incidence in the Japanese A-bomb survivors—an analysis considering the degree of independent effects from γ-ray and neutron absorbed doses with hierarchical partitioning. Radiat Environ Biophys. doi:10.1007/s00411-012-0445-6

  • Wang C, Parmigiani G, Dominici F (2012) Bayesian effect estimation accounting for adjustment uncertainty. Biometrics 68:661–686

    Article  MATH  Google Scholar 

Download references

Acknowledgments

We would like to thank Dr. Ronald E.J. Mitchel, Atomic Energy of Canada Limited, Chalk River Laboratories, for revising the manuscript. The research leading to these results has received funding from the Euratom Seventh Framework Program under grant agreement n° 295823 (PROCARDIO). This report makes use of data obtained from the Radiation Effects Research Foundation (RERF) in Hiroshima, Japan. RERF is a private, non-profit foundation funded by the Japanese Ministry of Health, Labour and Welfare (MHLW) and the US Department of Energy (DOE), the latter through the National Academy of Sciences. The conclusions in this report are those of the authors and do not necessarily reflect the scientific judgment of RERF or its funding agencies.

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Correspondence to H. Schöllnberger.

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Schöllnberger, H., Kaiser, J.C., Walsh, L. et al. Reply to Little et al.: dose–responses from multi-model inference for the non-cancer disease mortality of atomic bomb survivors. Radiat Environ Biophys 52, 161–163 (2013). https://doi.org/10.1007/s00411-012-0454-5

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  • DOI: https://doi.org/10.1007/s00411-012-0454-5

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