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CC BY 4.0 · Aorta (Stamford) 2014; 02(02): 45-55
DOI: 10.12945/j.aorta.2014.14-019
State-of-the-Art Review
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Statistical Challenges in Identifying Risk Factors for Aortic Disease

John A. Rizzo
1   Aortic Institute at Yale-New Haven Hospital, Yale University School of Medicine, New Haven, Connecticut, USA
2   Department of Economics and Department of Preventive Medicine, Stony Brook University, Stony Brook, New York, USA
,
Jie Chen
3   Department of Health Services Administration, University of Maryland, College Park, Maryland, USA
,
Hai Fang
4   China Center for Health Development Studies, Peking University, Beijing, China
,
Bulat A. Ziganshin
1   Aortic Institute at Yale-New Haven Hospital, Yale University School of Medicine, New Haven, Connecticut, USA
5   Department of Surgical Diseases #2, Kazan State Medical University, Kazan, Russia
,
John A. Elefteriades
1   Aortic Institute at Yale-New Haven Hospital, Yale University School of Medicine, New Haven, Connecticut, USA
› Author Affiliations
Further Information

Publication History

01 March 2014

15 March 2014

Publication Date:
24 September 2018 (online)

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Abstract

Being largely asymptomatic, thoracic aortic aneurysms pose a challenge for the physician to identify and intervene in time to prevent death or a major complication. Knowing how to accurately analyze the available clinical data is vital to informing the proper management of these patients. This paper seeks to provide an overview of the statistical methods most commonly used to analyze clinical outcomes with a special focus on research related to aortic disease.

Key Words

Aortic aneurysm - Statistical methods - Clinical outcomes
 

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