Time-to-event analysis.

Q2 Medicine

Perspectives in Clinical Research Pub Date : 2025-04-01 Epub Date: 2025-04-07 DOI:10.4103/picr.picr_52_25

Priya Ranganathan, Vishal Deo, C S Pramesh

引用次数: 0

Abstract

Survival analysis (or time-to-event analysis) deals with data where the outcome of interest is the length of time until the occurrence of an event. This type of analysis is unique because the event may not occur in all participants (known as censoring). A previous article in this journal covered the basic aspects of conventional survival analysis. In this article, we discuss two unique features - nonproportional hazards (PH) and competing risks.

查看原文本刊更多论文

比较分析。

生存分析（或事件时间分析）处理的数据中，感兴趣的结果是事件发生之前的时间长度。这种类型的分析是独特的，因为事件可能不会发生在所有参与者身上（称为审查）。本刊之前的一篇文章涵盖了传统生存分析的基本方面。在本文中，我们讨论了两个独特的特征-非比例风险（PH）和竞争风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Perspectives in Clinical Research Medicine-Medicine (all)

CiteScore

2.90

自引率

0.00%

发文量

审稿时长

36 weeks

期刊介绍： This peer review quarterly journal is positioned to build a learning clinical research community in India. This scientific journal will have a broad coverage of topics across clinical research disciplines including clinical research methodology, research ethics, clinical data management, training, data management, biostatistics, regulatory and will include original articles, reviews, news and views, perspectives, and other interesting sections. PICR will offer all clinical research stakeholders in India – academicians, ethics committees, regulators, and industry professionals -a forum for exchange of ideas, information and opinions.