Rossello Xavier, González-Del-Hoyo Maribel
Servei de Cardiologia, Institut d'Investigació Sanitària Illes Balears (IdISBa), Hospital Universitari Son Espases, Palma de Mallorca, Balearic Islands, Spain; Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; Facultad de Medicina, Universitat de les Illes Balears (UIB), Palma de Mallorca, Balearic Islands, Spain; Medical Statistics Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Servei de Cardiologia, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, Barcelona, Spain.
Rev Esp Cardiol (Engl Ed). 2022 Jan;75(1):67-76. doi: 10.1016/j.rec.2021.06.003. Epub 2021 Jun 29.
This review provides a practical guide to the essentials of survival analysis and their reporting in cardiovascular studies, although most of its key content can be extrapolated to other medical fields. This is the first in a series of 2 educational articles laying the groundwork to address the most relevant statistical issues in survival analyses, which will smoothly drive the reader from the most basic analyses to the most complex situations. The focus will be on the type and shape of survival data, and the most common statistical methods, such as nonparametric, parametric and semiparametric models. Their adequacy, interpretation, advantages and disadvantages are illustrated by examples from the field of cardiovascular research. This article ends with a set of recommendations to guide the strategy of survival analyses for a randomized clinical trial and observational studies. Other topics, such as competing risks, multistate models and recurrent-event methods will be addressed in the second article.
本综述为生存分析的要点及其在心血管研究中的报告提供了实用指南，尽管其大部分关键内容可外推至其他医学领域。这是两篇教育性文章系列中的第一篇，为解决生存分析中最相关的统计问题奠定基础，将引导读者从最基本的分析顺利过渡到最复杂的情况。重点将放在生存数据的类型和形状，以及最常见的统计方法，如非参数、参数和半参数模型。心血管研究领域的实例说明了它们的适用性、解释、优点和缺点。本文最后给出了一系列建议，以指导随机临床试验和观察性研究的生存分析策略。其他主题，如竞争风险、多状态模型和复发事件方法将在第二篇文章中讨论。
