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Activity Number: 409 - Survival Analysis I
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #330703 Presentation
Title: Analysis of Competing Risk Data in Generalized Case-Cohort Design
Author(s): Yayun Xu* and Soyoung Kim
Companies: Medical College of Wisconsin and Medical College of Wisconsin
Keywords: Generalized case-cohort design; Competing risk; Efficiency

In large cohort studies, generalized case-cohort design has been proposed when measuring exposures is expensive and events are not rare in the cohort. In such design, expensive information is collected from a random sample from the full cohort and a portion of subjects who have events. In this paper, we propose a proportional subdistribution hazards model for the generalized case-cohort design and examine optimal choice of weights to improve efficiency gain. The proposed estimators are shown to be consistent and asymptotically normally distributed. Simulation studies show that the proposed methods work well and gain estimation efficiency when using extra information from other causes.

Authors who are presenting talks have a * after their name.

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