中文版 | English
Title

基于R Shiny开发的逆概率处理加权分析工具介绍

Author
Publication Years
2023
DOI
Source Title
ISSN
2096-5087
Volume35Issue:6Pages:551-552
Abstract
基于医疗大数据的现实世界研究是临床研究的重要手段之一,它不仅能从庞大的数据中归纳和总结医学知识,还能为卫生政策的制定提供依据.与随机对照试验不同,现实世界研究常常是观察性的,研究设计因缺少随机化过程而导致暴露组(实验组)与非暴露组(对照组)间的混杂因素(如基线特征)分布不均,进而降低两组间的可比性,导致效应估计偏差.
URL[Source Record]
Language
Chinese
SUSTech Authorship
Others
Funding Project
AC22035089:广西科技基地和人才专项
Data Source
WanFang
WanFangID
zjyfyx202306020
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/571494
Affiliation
1.桂林医学院智能医学与生物技术学院,广西桂林541010
2.右江民族医学院,广西百色533000
3.南方科技大学,广东深圳518055
Recommended Citation
GB/T 7714
胡俊承,王志海,王佳佳,等. 基于R Shiny开发的逆概率处理加权分析工具介绍[J]. 预防医学,2023,35(6):551-552.
APA
胡俊承,王志海,王佳佳,&莫春宝.(2023).基于R Shiny开发的逆概率处理加权分析工具介绍.预防医学,35(6),551-552.
MLA
胡俊承,et al."基于R Shiny开发的逆概率处理加权分析工具介绍".预防医学 35.6(2023):551-552.
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