Simulation–extrapolation method to address errors in atomic bomb survivor dosimetry on solid cancer and leukaemia mortality risk estimates, 1950–2003
| Autor: | Florent de Vathaire, Boris Schwartz, Dominique Laurier, Rodrigue S. Allodji, Ibrahima Diallo, Césaire Agbovon |
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| Přispěvatelé: | Épidémiologie des radiations, épidémiologie clinique des cancers et survie (U1018 (Équipe 3) ), Centre de recherche en épidémiologie et santé des populations (CESP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut Gustave Roussy (IGR), PRPHOM, SRBE, LEPID, Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Laboratoire de Radiopathologie et Thérapies Expérimentales [IRSN, Fontenay-aux-Roses] (PRP-HOM - SRBE) |
| Rok vydání: | 2015 |
| Předmět: |
Adult
Male Neoplasms Radiation-Induced Calibration (statistics) [SDV]Life Sciences [q-bio] Biophysics Extrapolation Biostatistics History 21st Century Cohort Studies Japan Risk Factors Econometrics Humans Dosimetry Computer Simulation Survivors Radiometry Aged Nuclear Warfare General Environmental Science Mathematics Leukemia Radiation-Induced Nuclear Weapons Radiation Observational error business.industry Linear model Regression analysis History 20th Century Middle Aged 3. Good health Linear Models Female Simple linear regression Radiation protection business |
| Zdroj: | Radiation and Environmental Biophysics Radiation and Environmental Biophysics, 2015, 54 (3), pp.273-283. ⟨10.1007/s00411-015-0594-5⟩ |
| ISSN: | 1432-2099 0301-634X |
| Popis: | International audience; Analyses of the Life Span Study (LSS) of Japanese atomic bombing survivors have routinely incorporated corrections for additive classical measurement errors using regression calibration. Recently, several studies reported that the efficiency of the simulation–extrapolation method (SIMEX) is slightly more accurate than the simple regression calibration method (RCAL). In the present paper, the SIMEX and RCAL methods have been used to address errors in atomic bomb survivor dosimetry on solid cancer and leukaemia mortality risk estimates. For instance, it is shown that using the SIMEX method, the ERR/Gy is increased by an amount of about 29 % for all solid cancer deaths using a linear model compared to the RCAL method, and the corrected EAR 10−4 person-years at 1 Gy (the linear terms) is decreased by about 8 %, while the corrected quadratic term (EAR 10−4 person-years/Gy2) is increased by about 65 % for leukaemia deaths based on a linear-quadratic model. The results with SIMEX method are slightly higher than published values. The observed differences were probably due to the fact that with the RCAL method the dosimetric data were partially corrected, while all doses were considered with the SIMEX method. Therefore, one should be careful when comparing the estimated risks and it may be useful to use several correction techniques in order to obtain a range of corrected estimates, rather than to rely on a single technique. This work will enable to improve the risk estimates derived from LSS data, and help to make more reliable the development of radiation protection standards. © 2015, Springer-Verlag Berlin Heidelberg. |
| Databáze: | OpenAIRE |
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