Statistical Challenges in Identifying Risk Factors for Aortic Disease

John A Rizzo; Jie Chen; Hai Fang; Bulat A Ziganshin; John A Elefteriades

doi:10.12945/j.aorta.2014.14-019

Statistical Challenges in Identifying Risk Factors for Aortic Disease

Aorta (Stamford). 2014 Apr 1;2(2):45-55. doi: 10.12945/j.aorta.2014.14-019. eCollection 2014 Apr.

Authors

John A Rizzo, Jie Chen¹, Hai Fang², Bulat A Ziganshin, John A Elefteriades³

Affiliations

¹ Department of Health Services Administration, University of Maryland, College Park, Maryland, USA;
² China Center for Health Development Studies, Peking University, Beijing, China; and.
³ Aortic Institute at Yale-New Haven Hospital, Yale University School of Medicine, New Haven, Connecticut, USA;

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.

Keywords: Aortic aneurysm; Clinical outcomes; Statistical methods.

Publication types

Review