Large-scale health surveys conducted by government agencies record information on a large number of health-related variables.
We review the use of these data for performing analyses that address cancer-related objectives.
After describing the conduct of a large-scale health survey (the third National Health and Nutrition Examination Survey [NHANES III]), we discuss some of the issues involved in analyzing data collected in such a survey.
In particular, the use of sample weights in the analysis and the importance of accounting for the complex survey design when estimating standard errors are discussed.
Six applications are then presented that involve the following : 1) estimating demographic factors associated with snuff use, 2) estimating the association of type of health insurance with the probability of receiving a digital rectal examination, 3) estimating the association of body iron stores with the probability of later developing cancer, 4) estimating the changing rates of mammography screening in the United States between 1987 and 1992,5) evaluating smoking and alcohol consumption as risk factors for digestive cancer by use of a population-based, case-control study, and 6) evaluating a randomized community-intervention experiment to encourage smoking cessation. (...)
Mots-clés Pascal : Epidémiologie, Homme, Mortalité, Courbe survie, Tumeur maligne, Aide décision, Analyse multivariable, Biais méthodologique, Analyse statistique, Assistance ordinateur
Mots-clés Pascal anglais : Epidemiology, Human, Mortality, Survival curve, Malignant tumor, Decision aid, Multivariate analysis, Methodological bias, Statistical analysis, Computer aid
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 99-0477020
Code Inist : 002B30A01A1. Création : 22/03/2000.