WEKO3
アイテム
RANDOM EFFECTS IN MEASUREMENT OF RADIATION EXPOSURE BY BIODOSIMETRY
https://repo.qst.go.jp/records/64827
https://repo.qst.go.jp/records/64827be93b548-342d-4099-a5a2-b84206daab63
| Item type | 会議発表用資料 / Presentation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2012-11-09 | |||||
| タイトル | ||||||
| タイトル | RANDOM EFFECTS IN MEASUREMENT OF RADIATION EXPOSURE BY BIODOSIMETRY | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_c94f | |||||
| 資源タイプ | conference object | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Mano, Shuhei
× Mano, Shuhei× Akiyma, Miho× Hirai, Momoki× Suto, Yumiko× 穐山 美穂× 平井 百樹× 數藤 由美子 |
|||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Biodosimetry is one of convenient, cost-effective methods for measurement of radiation exposure. We discuss di-centric analysis, which is an estimation procedure of radiation dosage by counting number of di-centric chromosomes in cells of an exposed individual. In the di-centric analysis we have to make our own standard response curve by using learning data prior to applying test-data. The learning data are constructed by exposing cells to several fixed dosages and counting di-centric chromosomes. One of long-standing problems in di-centric analysis is whether random effects should be accounted in the analysis. In our study, we tried to dissect random effects from the counting data by using counting data constructed by using cells taken from 13 individuals. In di-centric analysis for low dosage we usually assume quadratic response curve, where Poisson intensity of counting per cell is a quadratic function of the dosage. We investigated separation of random effects and fixed effects from the estimated response curves of each individual. We adopted a Bayesian hierarchical model and estimated fixed and random effects by using MCMC. We found random effects are relatively small and thus we can expect fixed effects can be estimated precisely. Our result suggests that we have to prepare better standard response curve by estimating fixed effects by using large learning data. | |||||
| 会議概要（会議名, 開催地, 会期, 主催者等） | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | XXVIth International Biometric Conference | |||||
| 発表年月日 | ||||||
| 日付 | 2012-08-31 | |||||
| 日付タイプ | Issued | |||||
