The Adjustment Methods for Missing Data in Clinical Trials of Traditional Chinese Medicine

被引：0
作者：
Xie, Yang [1 ,2 ]
Wang, Jia-jia [2 ]
机构：
[1] Henan Univ Chinese Med, Affiliated Hosp 1, Dept Resp Dis, Zhengzhou, Henan, Peoples R China
[2] Henan Univ Chinese Med, Collaborat Innovat Ctr Resp Dis Diag & Treatment, Zhengzhou, Henan, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC AND INFORMATION TECHNOLOGY (ICMEIT 2018) | 2018年
关键词：
Missing data; Adjustment methods; Traditional Chinese medicine; Clinical trials; PREVENTION;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Missing data occurs widely in clinical trials of traditional Chinese medicine (TCM), which seriously compromises inferences from clinical trials and undermines the precision of the results. There are four different types of adjustment methods for missing data according to the characteristics of TCM clinical trials, which are complete-case analysis, single imputation methods, estimating-equation methods, and methods based on a statistical model. The adjustment methods selected should be clarified in detail, including its rationality and objectivity for efficacy evaluation of TCM clinical trials, and the corresponding statistical analysis method should be also indicated.
引用
收藏
页码：562 / 564
页数：3
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