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

IF 4.4 3区医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Preventing Chronic Disease Pub Date : 2025-03-27 DOI:10.5888/pcd22.240387

Heather Willmott, Caroline Gochanour, Kai Ding, Jessica Reese, Elisa Lee, Ying Zhang

引用次数: 0

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.

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来源期刊

Preventing Chronic Disease PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-

CiteScore

6.70

自引率

3.60%

发文量

期刊介绍： Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. The mission of PCD is to promote the open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. The vision of PCD is to be the premier forum where practitioners and policy makers inform research and researchers help practitioners and policy makers more effectively improve the health of the population. Articles focus on preventing and controlling chronic diseases and conditions, promoting health, and examining the biological, behavioral, physical, and social determinants of health and their impact on quality of life, morbidity, and mortality across the life span.