Two Modeling Strategies in Analyzing Clustered Time-to-Event Data: the Strong Heart Family Study

Researchers need applicable tools to analyze and account for familial relatedness when working with family study data. In this brief article, we describe the application of 2 modeling strategies for studying the association between leukocyte telomere length and incident stroke based on data collected in the Strong Heart Family Study: the shared frailty model and the marginal Cox proportional hazards model. Although these modeling strategies are based on different theoretical frameworks, their results were similar. Future simulation study may help us to better understand the limitations and performance of each strategy in a controlled environment.

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Publication Details

Journal
Preventing Chronic Disease
Published
2025-03-27
DOI
https://doi.org/10.5888/pcd22.240387
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00
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article

Two Modeling Strategies in Analyzing Clustered Time-to-Event Data: the Strong Heart Family Study

Elisa Lee, Ying Zhang, Jessica A. Reese, Kai Ding et al.
Preventing Chronic Disease
Nutritional Studies and Diet
article

Two Modeling Strategies in Analyzing Clustered Time-to-Event Data: the Strong Heart Family Study

Elisa Lee, Ying Zhang, Jessica A. Reese, Kai Ding, Heather Willmott, Caroline Gochanour
article en

Abstract

Researchers need applicable tools to analyze and account for familial relatedness when working with family study data. In this brief article, we describe the application of 2 modeling strategies for studying the association between leukocyte telomere length and incident stroke based on data collected in the Strong Heart Family Study: the shared frailty model and the marginal Cox proportional hazards model. Although these modeling strategies are based on different theoretical frameworks, their results were similar. Future simulation study may help us to better understand the limitations and performance of each strategy in a controlled environment.

Preventing Chronic DiseaseVol. 22
University of Oklahoma Health Sciences Center (US)
Good health and well-being
Openalex Percentile: Top 92%
Nutritional Studies and Diet
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