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In survival data analysis, a competing risk is an event whose occurrence precludes or alters the chance of the occurrence of the primary event of interest. In large cohort studies with long‐term follow‐up, there are often competing risks. Further, if the event of interest is rare in such large studies, the case‐cohort study design is widely used to reduce the cost and achieve the same efficiency as...
Generalized case‐cohort design has been proposed to assess the effects of exposures on survival outcomes when measuring exposures is expensive and events are not rare in the cohort. In such design, expensive exposure information is collected from both a (stratified) randomly selected subcohort and a subset of individuals with events. In this article, we consider extension of such design to study...
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