Abstract
Several examples are selected from the literature in order to illustrate combinations of complicating factors, which may occur in real-life radiation exposure scenarios that affect the accuracy of cytogenetic dose estimates. An analysis of limitations in the current statistical methods used in biodosimetry was carried out. Possible directions for further improvement of the statistical basis of chromosomal dosimetry by specific mathematical procedures are outlined.
Original language | English |
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Pages (from-to) | 1004-1008 |
Number of pages | 5 |
Journal | Radiation Measurements |
Volume | 46 |
Issue number | 9 |
DOIs | |
Publication status | Published - Sept 2011 |
Bibliographical note
Funding Information:This work has been carried out as part of an International Joint Project JP080153 awarded by the Royal Society of the UK. This support was provided solely for authors' meetings to discuss the data included in the present work. The Royal Society did not influence or participate in study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the paper for publication.
Keywords
- Biodosimetry
- Cytogenetics
- Data treatment
- Scenarios of radiation exposure
- Statistical uncertainty