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Aalen's linear model for sampled risk set data: a large sample study.

J Zhang·O Borgan
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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.

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Case-Control StudiesCohort StudiesHumansProportional Hazards ModelsRisk AssessmentSample SizeSampling StudiesSurvival AnalysisJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, Non-P.H.S.

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J Zhang, O Borgan. 1999. Aalen's linear model for sampled risk set data: a large sample study.. https://doi.org/10.1023/a%3A1009640226202

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