COMBINATION OF CANCER DATA IN QUANTITATIVE RISK ASSESSMENTS - CASE-STUDY USING BROMODICHLOROMETHANE

Citation
Sf. Velazquez et al., COMBINATION OF CANCER DATA IN QUANTITATIVE RISK ASSESSMENTS - CASE-STUDY USING BROMODICHLOROMETHANE, Risk analysis, 14(3), 1994, pp. 285-291
Citations number
22
Categorie Soggetti
Social Sciences, Mathematical Methods
Journal title
ISSN journal
02724332
Volume
14
Issue
3
Year of publication
1994
Pages
285 - 291
Database
ISI
SICI code
0272-4332(1994)14:3<285:COCDIQ>2.0.ZU;2-W
Abstract
There are often several data sets that may be used in developing a qua ntitative risk estimate for a carcinogen. These estimates are usually based, however, on the dose-response data for tumor incidences from a single sex/strain/species of animal. When appropriate, the use of more data should result in a higher level of confidence in the risk estima te. The decision to use more than one data set (e.g., representing dif ferent animal sexes, strains, species, or tumor sites) can be made fol lowing biological and statistical analyses of the compatibility of the se data sets. Biological analysis involves consideration of factors su ch as the relevance of the animal models, study design and execution, dose selection and route of administration, the mechanism of action of the agent, its pharmacokinetics, any species- and/or sex-specific eff ects, and tumor site specificity. If the biological analysis does not prohibit combining data sets, statistical compatibility of the data se ts is then investigated. A generalized likelihood ratio test is propos ed for determining the compatibility of different data sets with respe ct to a common dose-response model, such as the linearized multistage model. The biological and statistical factors influencing the decision to combine data sets are described, followed by a case study of bromo dichloromethane.