摘要
我国医疗领域目前已积累了海量数据,如何利用大数据开展随机对照试验日益得到关注。本研究结合国外利用大数据实施随机对照试验的成功经验,从数据来源、研究对象和研究结局确定、干预措施、随机化方法、知情同意的实施等方面进行梳理总结,以期为国内未来开展相关研究提供借鉴。
A large amount of data has been accumulated in Chinese medical area. Problems as how to use big data to carry out randomized controlled trials have also been increasingly noteworthy. Through learning the successful experiences in conducting randomized controlled trials on big data from abroad, this article introduces the knowledge regarding sources of data, identification of research subjects and outcomes, interventions, methods of randomization and the implementation of informed consent, etc., all related to big data, hoping to shed light on studies of this kind, for the years to come in China.
作者
许璐
王胜锋
詹思延
Xu Lu;Wang Shengfeng;Zhan Siyan(Department of Epidemiology and Biostatistics,School of Public Health,Peking University,Beijing 100191,China)
出处
《中华流行病学杂志》
CAS
CSCD
北大核心
2019年第6期702-706,共5页
Chinese Journal of Epidemiology
关键词
大数据
电子医疗数据
随机对照试验
Big data
Electronic medical records
Randomized controlled trial
