Use of logistic regression for modelling risk factors: with application to non-melanoma skin cancer
Logistic regression was used to estimate the relative risk of basal and squamous skin cancer for such factors as cumulative lifetime solar exposure, age, complexion, and tannability. In previous reports, a subject's exposure was estimated indirectly, by latitude, or by the number of sun days in a subject's habitat. In contrast, these results are based on interview data gathered for each subject. A relatively new technique was used to estimate relative risk by controlling for confounding and testing for effect modification. A linear effect for the relative risk of cancer versus exposure was found. Tannability was shown to be a more important risk factor than complexion. This result is consistent with the work of Silverstone and Searle.
- OSTI ID:
- 6851781
- Journal Information:
- Am. J. Epidemiol.; (United States), Vol. 108:5
- Country of Publication:
- United States
- Language:
- English
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SKIN
BIOLOGICAL RADIATION EFFECTS
SOLAR RADIATION
RISK ASSESSMENT
CARCINOMAS
MAN
MATHEMATICAL MODELS
PIGMENTS
RADIATION DOSES
SURVEYS
ANIMALS
BIOLOGICAL EFFECTS
BODY
DISEASES
DOSES
MAMMALS
NEOPLASMS
ORGANS
PRIMATES
RADIATION EFFECTS
RADIATIONS
STELLAR RADIATION
VERTEBRATES
560400* - Other Environmental Pollutant Effects