Flexible dose-response models for Japanese atomic bomb survivor data: Bayesian estimation and prediction of cancer risk-Reference-Cited by-同舟云学术

Flexible dose-response models for Japanese atomic bomb survivor data: Bayesian estimation and prediction of cancer risk

Published:2004-11-25 Issue:4 Volume:43 Page:233-245
ISSN:0301-634X
Container-title:Radiation and Environmental Biophysics
language:en
Short-container-title:Radiat Environ Biophys

Author:

Bennett James,Little Mark P.,Richardson Sylvia

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Radiation,Biophysics

Link

http://link.springer.com/content/pdf/10.1007/s00411-004-0258-3.pdf

Reference48 articles.

1. National Research Council (1990) Committee on the Biological Effects of Ionizing Radiations. Health effects of exposure to low levels of ionizing radiation (BEIR V). National Academy Press, Washington DC

2. ICRP (1991) 1990 Recommendations of the International Commission on Radiological Protection. Annals of the ICRP 21 (1?3). Pergamon, Oxford

3. UNSCEAR (2000) Sources and effects of ionizing radiation. UNSCEAR 2000 Report to the General Assembly, with scientific annexes. Volume II: Effects. United Nations, New York

4. Thomas D, Stram D, Dwyer J (1993) Exposure measurement error: influence on exposure-disease relationships and methods of correction. Annu Rev Public Health 14:69?93

5. Jablon S (1971) Atomic bomb radiation dose estimation at ABCC. ABCC Technical Report TR 23?71. Atomic Bomb Casualty Commission, Hiroshima

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