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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.
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
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  Data: <searchLink fieldCode="JN" term="%22Radiation+%26+Environmental+Biophysics%22">Radiation & Environmental Biophysics</searchLink>. Aug2020, Vol. 59 Issue 3, p423-437. 15p.
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        Value: 10.1007/s00411-020-00859-6
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        Text: English
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