Probabilistic methodology for estimating radiation-induced cancer risk
Description
The RICRAC computer code was developed at Oak Ridge National Laboratory to provide a versatile and convenient methodology for radiation risk assessment. The code allows as input essentially any dose pattern commonly encountered in risk assessments for either acute or chronic exposures, and it includes consideration of the age structure of the exposed population. Results produced by the analysis include the probability of one or more radiation-induced cancer deaths in a specified population, expected numbers of deaths, and expected years of life lost as a result of premature fatalities. These calculatons include consideration of competing risks of death from all other causes. The program also generates a probability frequency distribution of the expected number of cancers in any specified cohort resulting from a given radiation dose. The methods may be applied to any specified population and dose scenario
Availability note (English)
MF available from INIS under the Report Number; Available from NTIS., PC A02/MF A01.Files
13664525.pdf
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Additional details
Publishing Information
- Imprint Pagination
- 7 p.
- Report number
- CONF-810905--22
Conference
- Title
- ANS/ENS topical meeting on probabilistic risk assessment.
- Dates
- 20 - 24 Sep 1981.
- Place
- Post Chester, NY, USA.
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 13664525
- Subject category
- S63: RADIATION, THERMAL, AND OTHER ENVIRONMENTAL POLLUTANT EFFECTS ON LIVING ORGANISMS AND BIOLOGICAL MATERIALS; S61: RADIATION PROTECTION AND DOSIMETRY; S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ACUTE IRRADIATION; CARCINOGENESIS; CHRONIC IRRADIATION; COMPUTER CODES; DOSE-RESPONSE RELATIONSHIPS; HUMAN POPULATIONS; IONIZING RADIATIONS; MORTALITY; R CODES; RADIATION DOSES; RADIATION EFFECTS; RADIATION HAZARDS; RISK ANALYSIS; STATISTICAL MODELS
- Descriptors DEC
- HAZARDS; HEALTH HAZARDS; IRRADIATION; MATHEMATICAL MODELS; PATHOGENESIS; POPULATIONS; RADIATIONS