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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 #320843
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Title:
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Adjusting for Informative Cluster Size in Pseudo-Value-Based Regression Approaches with Clustered Time-to-Event Data
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Author(s):
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Samuel C Anyaso-Samuel* and Somnath Datta
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Companies:
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University of Florida and University of Florida
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Keywords:
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Estimating equations;
Informative cluster size;
Multistate models;
Pseudo-value regression;
Survival Analysis
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Abstract:
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Inverse cluster size weightings are often used to adjust for informative cluster size in a variety of inference problems. An estimating equation is used in conjunction with a pseudo-value based regression technique which has gained popularity over the years in survival analysis and multistate models. We consider a setup where one encounters clustered time to event data such that the number of individuals in a cluster is potentially informative of the multistate process. We point out that in this situation, an inverse cluster size adjustment can be made in one of two steps, leading to four possible strategies. We present theoretical and simulation arguments in support of the correct way of adjusting for this issue.
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Authors who are presenting talks have a * after their name.
