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• W2950459786 abstract "Case-cohort design, an outcome-dependent sampling design for censored survival data, is increasingly used in biomedical research. The development of asymptotic theory for a case-cohort design in the current literature primarily relies on counting process stochastic integrals. Such an approach, however, is rather limited and lacks theoretical justification for outcome-dependent weighted methods due to non-predictability. Instead of stochastic integrals, we derive asymptotic properties for case-cohort studies based on a general Z-estimation theory for semiparametric models with bundled parameters using modern empirical processes. Both the Cox model and the additive hazards model with time-dependent covariates are considered." @default.
• W2950459786 created "2019-06-27" @default.
• W2950459786 creator A5009800657 @default.
• W2950459786 creator A5029120853 @default.
• W2950459786 date "2012-04-11" @default.
• W2950459786 modified "2023-09-27" @default.
• W2950459786 title "A general semiparametric Z-estimation approach for case-cohort studies" @default.
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• W2950459786 hasPublicationYear "2012" @default.
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