摘要
当感兴趣的两种干预方案之间缺少头对头的随机对照试验时,可以使用间接比较方法来估计相对治疗效果。匹配调整间接比较方法(MAIC)是一种基于加权理念的人群调整间接比较方法。其中无锚定MAIC主要适用于两个干预方案间无共同对照组的情况。本文介绍无锚定MAIC的方法背景及数学理论,并通过实例展示通过无锚定MAIC估计相对疗效的操作步骤及结果。
When there is a lack of head-to-head randomized controlled trials between two interventions of interest,indirect comparison methods can be employed to estimate their relative treatment effects.Matching-adjusted indirect comparison(MAIC)is a population-adjusted indirect comparison method that utilizes a weighting approach.Unanchored MAIC is particularly applicable in scenarios where a common control group between the two interventions is not available.This article introduces the background and mathematical theory of unanchored MAIC,along with a demonstration of the operational steps and interpretation of results through an application example.
作者
刘莹
贺小宁
刘佳
吴晶
LIU Ying;HE Xiaoning;LIU Jia;WU Jing(School of Pharmaceutical Science and Technology,Tianjin University,Tianjin 300072,P.R.China)
出处
《中国循证医学杂志》
CSCD
北大核心
2023年第9期1096-1101,共6页
Chinese Journal of Evidence-based Medicine
基金
天津大学自主创新基金(编号:2022XHX-0024)。
关键词
匹配调整间接比较
患者个体数据
疗效
临床试验
Matching-adjusted indirect comparison
Individual patient data
Treatment effects
Clinical trials
