title: Statistical Challenges in Identifying Risk Factors for Aortic Disease.
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.
authors.forename: John A
authors.initials: JA
authors.lastname: Rizzo
authors.affiliation: Department of Health Services Administration, University of Maryland, College Park, Maryland, USA;
authors.forename: Jie
authors.initials: J
authors.lastname: Chen
authors.affiliation: China Center for Health Development Studies, Peking University, Beijing, China; and.
authors.forename: Hai
authors.initials: H
authors.lastname: Fang
authors.forename: Bulat A
authors.initials: BA
authors.lastname: Ziganshin
authors.affiliation: Aortic Institute at Yale-New Haven Hospital, Yale University School of Medicine, New Haven, Connecticut, USA;
authors.forename: John A
authors.initials: JA
authors.lastname: Elefteriades
keywords: Aortic aneurysm; Clinical outcomes; Statistical methods