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中医药序列多重分配随机试验设计分析思路及统计方法应用 被引量:2

Analytical and statistical analysis methods to SMART design in the field of Chinese medicine
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摘要 序列多重分配随机试验(sequential multiple assignment randomized trial,SMART)是一项多阶段随机试验,可将多种干预组分嵌入研究中,评估不同阶段效果,制定最佳干预序列的组合,在中医药领域应用前景广阔。但因设计新颖性和统计分析复杂性,限制了其广泛应用。本文结合医学实践中经典SMART设计实例,在文献基础上总结SMART主要的研究目的,根据研究目的分别阐述数据整理及分析阶段的统计假设和统计分析思路方法,强调SMART设计中如何规范处理缺失数据的问题,并介绍文章撰写中规范展示方法学部分的内容,以期为今后研究者开展SMART设计提供方法学依据。 Sequential multiple assignment randomized trial(SMART) is a multi-stage randomized trial,which can embed multiple intervention components into the study,assess the effects of different stages,and formulate the optimal combination of intervention sequences,and has a promising application in the field of Chinese medicine.However,the novelty and complexity of its statistical analysis have limited its wide application.This paper combines classic SMART design examples in medical practice,summarizes the main research purposes of SMART on the basis of the literature,elaborates the statistical assumptions and statistical analysis ideas and methods in the analysis phase according to the research purposes,emphasizes how to standardize the handling of missing data in SMART design,and finally,introduces how to standardize the presentation of the methodology section in the article,with a view to providing a methodological basis for researchers to carry out SMART design in the future.
作者 孙源 鞠传兰 郑薇 施泽阳 卜志军 马文欣 王禹毅 刘建平 刘兆兰 SUN Yuan;JU Chuanlan;ZHENG Wei;SHI Zeyang;BU Zhijun;MA Wenxin;WANG Yuyi;LIU Jianping;LIU Zhaolan(Centre for Evidence-Based Chinese Medicine,Beijing University of Chinese Medicine,Beijing 100029;Yantai Centre for Disease Control and Prevention;The Traditional Chinese Medicine Hospital of Yantai;Dongzhimen Hospital, Beijing University of Chinese Medicine;The Traditional Chinese Medicine Hospital of Chongqing)
出处 《现代中医临床》 2024年第5期86-91,共6页 Modern Chinese Clinical Medicine
基金 北京中医药大学学科后备带头人支持计划(No.90010960920033) 国家中医药管理局高水平中医药重点学科建设项目——中医药循证医学(No.zyyzdxk-2023249)。
关键词 序列多重分配随机试验 方法学 统计分析 sequential multiple assignment randomized trial methodology statistical analysis
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