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Activity Number:
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136
- Recent Advances in Clustered Time-to-Event Data
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 8, 2022 : 10:30 AM to 12:20 PM
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Sponsor:
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Lifetime Data Science Section
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Abstract #322047
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Title:
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On the Analysis of Clustered Survival Data
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Author(s):
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DAVID OAKES*
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Companies:
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University of Rochester,
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Keywords:
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Frailty;
Multiple Events;
Proportional Hazards;
Repeated Events;
Wei-Lin-Weissfeld
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Abstract:
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The two most popular approaches to the analysis of clustered survival data, those of Wei, Lin and Weissfeld (1989) and of Prentice, Williams and Peterson (1981). Both have disadvantages. The former suffers from a lack of biological justification and the cognitive dissonance associated with considering an individual at risk for a second event when they have not yet incurred a first event. The latter avoids this problem at the cost of losing the causal interpretation of any hazard ratio after the first due to the selective entry of individuals into the subsequent risk sets. Greater flexibility can be obtained by ignoring the ordering of events and focusing on comparisons of the marginal intensity of an event – any event – as a function of the time from entry. We will explore this approach and its connections to other existing methods.
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Authors who are presenting talks have a * after their name.
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