title: Estimation of excess risk from case-control data using Aalen's linear regression model.
abstract: We introduce methods for statistical inference in Aalen's non-parametric linear regression model of disease incidence (Aalen, 1989, Statistics in Medicine 8, 907-925) from nested case-control data. These methods provide the basis for estimation of excess risk as a linear function of dose and absolute risk for a given exposure history. The methods are illustrated by estimating excess and absolute risks associated with radon exposure and smoking from nested case-control samples from the Colorado Plateau uranium miners cohort.
authors.affiliation: Institute of Mathematics, Blindern, Norway.
authors.forename: O
authors.initials: O
authors.lastname: Borgan
authors.forename: B
authors.initials: B
authors.lastname: Langholz
mesh_terms: D000328:Adult; D016022:Case-Control Studies; D015331:Cohort Studies; D003120:Colorado / Q000453:epidemiology; D003627:Data Interpretation, Statistical; D006801:Humans; D016014:Linear Models; D008175:Lung Neoplasms / Q000209:etiology / Q000401:mortality; D008297:Male; D008875:Middle Aged; D008906:Mining; D009381:Neoplasms, Radiation-Induced / Q000209:etiology / Q000401:mortality; D016273:Occupational Exposure; D011886:Radon / Q000009:adverse effects; D012306:Risk; D014501:Uranium
chemical_list: D014501:Uranium; D011886:Radon