APA (7th ed.) Citation

Belloni, M., Guihenneuc, C., Rage, E., & Ancelet, S. (2020). 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. Radiation & Environmental Biophysics, 59(3), 423. https://doi.org/10.1007/s00411-020-00859-6

Chicago Style (17th ed.) Citation

Belloni, M., C. Guihenneuc, E. Rage, and S. Ancelet. "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." Radiation & Environmental Biophysics 59, no. 3 (2020): 423. https://doi.org/10.1007/s00411-020-00859-6.

MLA (9th ed.) Citation

Belloni, M., et al. "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." Radiation & Environmental Biophysics, vol. 59, no. 3, 2020, p. 423, https://doi.org/10.1007/s00411-020-00859-6.