识别主动脉疾病风险因素中的统计学挑战。
Statistical Challenges in Identifying Risk Factors for Aortic Disease.
作者信息
Rizzo John A, Chen Jie, Fang Hai, Ziganshin Bulat A, Elefteriades John A
机构信息
Department of Health Services Administration, University of Maryland, College Park, Maryland, USA;
China Center for Health Development Studies, Peking University, Beijing, China; and.
出版信息
Aorta (Stamford). 2014 Apr 1;2(2):45-55. doi: 10.12945/j.aorta.2014.14-019. eCollection 2014 Apr.
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.
摘要
胸主动脉瘤大多没有症状，这给医生及时识别并进行干预以预防死亡或重大并发症带来了挑战。了解如何准确分析现有的临床数据对于为这些患者提供恰当的治疗至关重要。本文旨在概述最常用于分析临床结果的统计方法，特别关注与主动脉疾病相关的研究。
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