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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.7
- 수록면
- 683 - 690 (8page)
- DOI
- 10.7465/jkdi.2020.31.4.683
이용수
초록· 키워드
오류제보하기
Many people are exposed to radiation from frequently receiving X-rays or CT scans at the hospital. Exposure at low dose does not give an immediate response to the body. However, it is well known that the risk of cancer incidence rate is increasing over time. Therefore, in order to accurately quantify the risk of radiation exposure, many studies have been actively conducted. However, the Bayesian approach has not been rarely applied as a way to quantify radiation exposure risk. In this paper, the Bayesian approaches were introduced for several dose-response models to estimate the risk of radiation exposure, and the proposed model was applied to Life Span Study (LSS) solid cancer incidence data obtained from atomic bomb survivors (1958-2009). It was confirmed that the dose-response model of Linear nonthreshold (LNT), Quadratic, Linear-Quadratic, and Threshold showed similar results to those without the Bayesian analysis method. In the case of the piecewise linear dose-response model, the changes in slope associated with radiation exposure were found to vary with the dose ranges.
목차
Abstract
1. Introduction
2. Materials and methods
3. Application
4. Conclusion
References
참고문헌 (15)
참고문헌 신청
An, D / 2018 / Estimation of err model using expectile regression analysis
Dropkin, G. / 2016 / Low dose radiation risks for women surviving the a-bombs in Japan : Generalized additive model / Environmental Health 15:112
Furukawa, K. / 2016 / A Bayesian semiparametric model for radiation dose-Response estimation / Risk Analysis 36:1211~1223
Gelman, A. / 2013 / Bayesian data analysis / CRC press
Grant, E. J. / 2017 / Solid cancer incidence among the life span study of atomic bomb survivors: 1958-2009 / Radiation research 187:513~537
Dropkin, G. / 2016 / Low dose radiation risks for women surviving the a-bombs in Japan : Generalized additive model / Environmental Health 15:112
Furukawa, K. / 2016 / A Bayesian semiparametric model for radiation dose-Response estimation / Risk Analysis 36:1211~1223
Gelman, A. / 2013 / Bayesian data analysis / CRC press
Grant, E. J. / 2017 / Solid cancer incidence among the life span study of atomic bomb survivors: 1958-2009 / Radiation research 187:513~537
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UCI(KEPA) : I410-ECN-0101-2020-041-001098214