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使用事件发生时间数据的Meta分析:教程

Meta-Analysis Using Time-to-Event Data: A Tutorial.

作者信息

Krishan Ashma, Dwan Kerry

机构信息

Centre for Biostatistics The University of Manchester, Manchester Academic Health Science Centre Manchester UK.

Centre for Reviews and Dissemination (CRD) University of York York UK.

出版信息

Cochrane Evid Synth Methods. 2025 Aug 26;3(5):e70041. doi: 10.1002/cesm.70041. eCollection 2025 Sep.

DOI:10.1002/cesm.70041
PMID:40873687
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12380059/
Abstract

This tutorial focuses on trials that assess time-to-event outcomes. We explain what hazard ratios are, how to interpret them and demonstrate how to include time-to-event data in a meta-analysis. Examples are presented to help with understanding. Accompanying the tutorial is a micro learning module, where we demonstrate a few approaches and give you the chance to practice calculating the hazard ratio. Time-to-event micro learning module https://links.cochrane.org/cesm/tutorials/time-to-event-data.

摘要

本教程聚焦于评估事件发生时间结局的试验。我们解释了风险比是什么、如何解读它们,并演示了如何在荟萃分析中纳入事件发生时间数据。文中给出了示例以助理解。本教程配有一个微学习模块,我们在其中演示了一些方法,并让您有机会练习计算风险比。事件发生时间微学习模块https://links.cochrane.org/cesm/tutorials/time-to-event-data 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5d9/12380059/a3fef2c4798e/CESM-3-e70041-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5d9/12380059/a3fef2c4798e/CESM-3-e70041-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5d9/12380059/a3fef2c4798e/CESM-3-e70041-g001.jpg

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本文引用的文献

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Testing the proportional hazards assumption in cox regression and dealing with possible non-proportionality in total joint arthroplasty research: methodological perspectives and review.检验 Cox 回归中比例风险假设及处理全关节置换研究中潜在的非比例性:方法学视角与综述。
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如何使用 R 进行荟萃分析:实用教程。
Evid Based Ment Health. 2019 Nov;22(4):153-160. doi: 10.1136/ebmental-2019-300117. Epub 2019 Sep 28.
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