title: Aalen's linear model for sampled risk set data: a large sample study.
abstract: Borgan and Langholz (1997) describe a method for estimating the parameter functions in Aalen's linear hazard regression model from sampled risk set data. Using a counting process formulation and the martingale central limit theorem, we provide a study of the asymptotic distributional properties of the estimator. The results are applied to study the efficiencies of the nested case-control and counter-matched designs relative to a full cohort analysis.
authors.affiliation: Department of Statistics, University of Chicago, IL 60637, USA.
authors.forename: J
authors.initials: J
authors.lastname: Zhang
authors.forename: O
authors.initials: O
authors.lastname: Borgan
mesh_terms: D016022:Case-Control Studies; D015331:Cohort Studies; D006801:Humans; D016016:Proportional Hazards Models; D018570:Risk Assessment; D018401:Sample Size; D012494:Sampling Studies; D016019:Survival Analysis