title: Asymptotic results for fitting marginal hazards models from stratified case-cohort studies with multiple disease outcomes.
abstract: In stratified case-cohort designs, samplings of case-cohort samples are conducted via a stratified random sampling based on covariate information available on the entire cohort members. In this paper, we extended the work of Kang & Cai (2009) to a generalized stratified case-cohort study design for failure time data with multiple disease outcomes. Under this study design, we developed weighted estimating procedures for model parameters in marginal multiplicative intensity models and for the cumulative baseline hazard function. The asymptotic properties of the estimators are studied using martingales, modern empirical process theory, and results for finite population sampling.
authors.affiliation: Department of Epidemiology and Biostatistics, University of Georgia, Athens, Georgia 30602, United States.
authors.forename: Sangwook
authors.initials: S
authors.lastname: Kang
authors.forename: Jianwen
authors.initials: J
authors.lastname: Cai