title: Marginal additive hazards model for case-cohort studies with multiple disease outcomes: an application to the Atherosclerosis Risk in Communities (ARIC) study.
abstract: In the case-cohort studies conducted within the Atherosclerosis Risk in Communities (ARIC) study, it is of interest to assess and compare the effect of high-sensitivity C-reactive protein (hs-CRP) on the increased risks of incident coronary heart disease and incident ischemic stroke. Empirical cumulative hazards functions for different levels of hs-CRP reveal an additive structure for the risks for each disease outcome. Additionally, we are interested in estimating the difference in the risk for the different hs-CRP groups. Motivated by this, we consider fitting marginal additive hazards regression models for case-cohort studies with multiple disease outcomes. We consider a weighted estimating equations approach for the estimation of model parameters. The asymptotic properties of the proposed estimators are derived and their finite-sample properties are assessed via simulation studies. The proposed method is applied to analyze the ARIC Study.
authors: Department of Statistics, University of Connecticut, Storrs, CT 06269, USA. sangwook.kang@uconn.edu
authors: Sangwook
authors: S
authors: Kang
authors: Jianwen
authors: J
authors: Cai
authors: Lloyd
authors: L
authors: Chambless
mesh_terms: D050197:Atherosclerosis / Q000453:epidemiology* / Q000378:metabolism / Q000473:pathology; D002097:C-Reactive Protein / Q000032:analysis / Q000378:metabolism*; D016022:Case-Control Studies; D015331:Cohort Studies; D003198:Computer Simulation; D003324:Coronary Artery Disease / Q000453:epidemiology* / Q000378:metabolism / Q000473:pathology; D003327:Coronary Disease / Q000453:epidemiology* / Q000378:metabolism / Q000473:pathology; D006801:Humans; D016016:Proportional Hazards Models; D012306:Risk
chemical_list: D002097:C-Reactive Protein