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大数据背景下观察性研究中对照选择的方法学进展 被引量:1

Methodological progress in selection of control in observation study in the context of big data
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摘要 对照选择作为流行病学研究设计的核心,伴随健康医疗大数据研究的日益增多,其策略在不断丰富和完善,不同策略潜在影响的估计方法也在不断提出和推广。中国流行病学工作者亟需紧跟国际对照选择相关的方法学趋势,发现并解决方法学本土化问题,以便更好地服务于健康医疗大数据的开发。 Control selection is the core of epidemiological study. With the increase of studies based on big data in healthcare, the strategies for control selection were continued to enrich and improve. The methodologies to estimate the potential impact of each control selection strategies were also proposed. To facilitate the utilization of big data in healthcare, the Chinese epidemiologist should keep in step with the international trend in the field of control selection, and should find ways to localize the strategies for control selection.
作者 王胜锋 詹思延 WANG Sheng-feng;ZHAN Si-yan(Department of Epidemiology and Biostatistics,Peking University,School of Public Health,Beijing 100191,China)
出处 《中华疾病控制杂志》 CAS CSCD 北大核心 2021年第1期16-19,120,共5页 Chinese Journal of Disease Control & Prevention
基金 中华医学会医学教育分会医学教育研究课题。
关键词 对照选择 观察性研究 健康医疗大数据 Control selection Observational study Big data in healthcare
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