因果关系模型在中医药观察性研究中应用的探讨

Translated title of the contribution: Application of causal inference model in observational studies of traditional Chinese medicine

Ying Zhang, Guoyan Yang, Yuyi Wang, Jianping Liu

Research output: Contribution to journalArticle

Abstract

Causal inferences in experimental studies and observational studies have common empirical philosophical foundations. Both of them obtain counterfactuals by adjusting confounders. Randomization and non-randomization are two traditional schools in causal inference quantificationally. Randomized controlled trials obtain counter factuals by randomization. Causal association is discussed and tested with casual inference in non-randomization. Observational studies could be used in intervention studies of traditional Chinese medicine as randomized controlled trials are not always applicable. Instrumental variable, regression discontinuity design and propensity score methods were introduced in this article.
Translated title of the contributionApplication of causal inference model in observational studies of traditional Chinese medicine
Original languageChinese (Simplified)
Pages (from-to)19-22
Number of pages4
JournalModern Chinese Clinical Medicine
Volume21
Issue number5
DOIs
Publication statusPublished - 2014

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