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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.11
- 수록면
- 1,145 - 1,153 (9page)
- DOI
- 10.7465/jkdi.2020.31.6.1145
이용수
초록· 키워드
오류제보하기
As technology develops, many people are exposed to radiation in hospitals and living spaces. It is widely known that radiation-related cancer risk increases as the background rate increase over time. Accurately quantifying the risk of exposure to radiation is a major study in radiation epidemiology. The solid cancer incidence data among Life Span Study (1958-2009) was used to estimate the risk associated with radiation by using Bayesian analysis. First, we considered the piecewise linear model, which estimates the slope by dividing the dose range, as dose-response function. In the piecewise linear model, the slope tends to change rapidly at the cut points. In this paper, we consider the Gaussian process with a covariance matrix to allow a dose difference structure to the dose category slopes. Finally we compare the results with other models using Bayesian analysis. As a result, estimated risk appeared slightly smaller than the Piecewise linear model with general assumption.
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
Bleslow, E. / 1987 / Statistical methods in cancer research: Volume II-The design and analysis of cohort studies
Frome, E. L. / 1983 / The analysis of rates using Poisson regression models / Biometrics :665~674
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
Bleslow, E. / 1987 / Statistical methods in cancer research: Volume II-The design and analysis of cohort studies
Frome, E. L. / 1983 / The analysis of rates using Poisson regression models / Biometrics :665~674
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
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