Radiation carcinogenesis: cumulative empirical distribution functions and risk projection models

Journal Article · Wed Oct 01 00:00:00 EDT 1986 · Health Phys.; (United States)

DOI:https://doi.org/10.1097/00004032-198610000-00004· OSTI ID:6963226

Chau, N P; Guiguet, M

The use of cumulative empirical distribution functions (CEDF) in connection with the prediction of radio-induced cancer risk is discussed. Two models are generally used for risk prediction: the relative risk and the absolute risk models. It can be easily demonstrated that if the relative projection model is valid, then the CEDFs of the cohort exposed to radiation and of the non-exposed cohort are the same. Land and Tokunaga have shown that for several sets of data the CEDF of exposed and non-exposed cohorts are indistinguishable. They used this result to recommend the use of the relative risk projection model and the rejection of the absolute projection model. This report discusses their argument and shows that when the absolute projection model is valid, the non-exposed and exposed CEDFs are also indistinguishable.

• Research Organization: Universite de Paris 7, France
• OSTI ID: 6963226
• Journal Information: Health Phys.; (United States), Vol. 4
• Country of Publication: United States
• Language: English

Related Subjects

63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTANT EFFECTS ON LIVING ORGS. AND BIOL. MAT.
NEOPLASMS
RADIOINDUCTION
RADIATION HAZARDS
MATHEMATICAL MODELS
CARCINOGENESIS
DISTRIBUTION FUNCTIONS
RISK ASSESSMENT
DISEASES
FUNCTIONS
HAZARDS
HEALTH HAZARDS
PATHOGENESIS
560151* - Radiation Effects on Animals- Man
560161 - Radionuclide Effects
Kinetics
& Toxicology- Man