仿真
临床试验
观察研究
计算机科学
样本量测定
医学物理学
金标准(测试)
集合(抽象数据类型)
心理干预
数据质量
质量(理念)
数据挖掘
数据科学
风险分析(工程)
医学
统计
心理学
工程类
运营管理
数学
社会心理学
内科学
公制(单位)
哲学
认识论
病理
精神科
程序设计语言
作者
Jianwei Zhou,Lihong Huang,Dongfang You,Feng Chen,Yang Zhao
出处
期刊:PubMed
日期:2024-02-10
卷期号:45 (2): 279-285
被引量:1
标识
DOI:10.3760/cma.j.cn112338-20230821-00081
摘要
Clinical trial is the gold standard for evaluating the efficacy and safety of interventions; however, it is limited by high costs and long time. Real-world data (RWD) can provide a robust data basis for comparative research, but the quality is uneven. This review introduces the target trial emulation, in which researchers, using RWD and following the design of clinical trials, define exposure and outcome in advance, set eligibility criteria, determine the time zero, estimate sample size, and plan statistical analysis, to enhance the quality of evidence for observational studies. This review preliminarily discusses the standard of evidence quality evaluation in target trial emulation. Then, the target trial emulation is shown through case interpretation.
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