A Bayesian hierarchical approach to account for left-censored and missing radiation doses prone to classical measurement error when analyzing lung cancer mortality due to γ-ray exposure in the French cohort of uranium miners.
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| Title: | A Bayesian hierarchical approach to account for left-censored and missing radiation doses prone to classical measurement error when analyzing lung cancer mortality due to γ-ray exposure in the French cohort of uranium miners. |
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| Authors: | Belloni, M.1 (AUTHOR) marion.belloni@irsn.fr, Guihenneuc, C.2 (AUTHOR), Rage, E.1 (AUTHOR), Ancelet, S.1 (AUTHOR) |
| Source: | Radiation & Environmental Biophysics. Aug2020, Vol. 59 Issue 3, p423-437. 15p. |
| Database: | Environment Complete |
| ISSN: | 0301634X |
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| DOI: | 10.1007/s00411-020-00859-6 |
