倾向得分匹配
观察研究
结果(博弈论)
匹配(统计)
混淆
医学
梅德林
计算机科学
外科
内科学
数学
病理
数理经济学
政治学
法学
作者
Jetan H. Badhiwala,Brij Karmur,Jefferson R. Wilson
出处
期刊:Clinical spine surgery
[Ovid Technologies (Wolters Kluwer)]
日期:2020-08-14
卷期号:34 (1): 22-24
被引量:19
标识
DOI:10.1097/bsd.0000000000001055
摘要
In using observational, nonrandomized data, there is often interest in studying the effect of a particular treatment on a specific outcome. However, the imbalance of potential confounding variables between the treatment groups can distort the relationship between treatment and outcome. Propensity score matching is one, increasingly utilized, method to help account for such imbalances, allowing for a more accurate estimation of the influence of treatment on outcome. In this paper, we provide the clinician with an overview of propensity score matching techniques and provide a practical example of how this has been used in clinical research relevant to spine surgery.
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