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

John A. Rizzo
, Jie Chen
, Hai Fang
, Bulat A. Ziganshin
, John A. Elefteriades

Program in Public Health

University of Maryland, College Park
Peking University
Yale University
Kazan State Medical University

Research output: Contribution to journal › Review article › peer-review

12 Scopus citations

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.

Original language	English
Pages (from-to)	45-55
Number of pages	11
Journal	AORTA
Volume	2
Issue number	2
DOIs	https://doi.org/10.12945/j.aorta.2014.14-019
State	Published - Apr 24 2014

Keywords

Aortic aneurysm
Clinical outcomes
Statistical methods

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10.12945/j.aorta.2014.14-019

Cite this

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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.",

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AU - Rizzo, John A.

AU - Chen, Jie

AU - Fang, Hai

AU - Ziganshin, Bulat A.

AU - Elefteriades, John A.

PY - 2014/4/24

Y1 - 2014/4/24

N2 - 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.

AB - 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.

KW - Aortic aneurysm

KW - Clinical outcomes

KW - Statistical methods

UR - https://www.scopus.com/pages/publications/84952655893

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DO - 10.12945/j.aorta.2014.14-019

M3 - Review article

AN - SCOPUS:84952655893

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VL - 2

SP - 45

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JO - AORTA

JF - AORTA

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Statistical Challenges in Identifying Risk Factors for Aortic Disease

Abstract

Keywords

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