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Applications of propensity score matching: a case series of articles published in Annals of Coloproctology
Hwa Jung Kim
Ann Coloproctol. 2022;38(6):398-402.   Published online December 28, 2022
DOI: https://doi.org/10.3393/ac.2022.01060.0151
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  • 3 Web of Science
  • 3 Citations
AbstractAbstract PDF
Propensity score matching (PSM) is an increasingly applied method of ensuring comparability between groups of interest. However, PSM is often applied unconditionally, without precise considerations. The purpose of this study is to provide a nonmathematical guide for clinicians at the stage of designing a PSM-based study. We provide a seed of thought for considering whether applying PSM would be appropriate and, if so, the scope of the list of variables. Although PSM may be simple, its results could vary substantially according to how the propensity score is constructed. Misleading results can be avoided through a critical review of the process of PSM.

Citations

Citations to this article as recorded by  
  • Social and Behavioral Determinants of Healthcare-Seeking and Satisfaction Among Rural Adults in Bangladesh: A Propensity Score Analysis
    Syed Billal Hossain, Md. Mizanoor Rahman, Kapashia Binte Giash, Md. Hazrat Ali, ABM Alauddin Chowdhury
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2026;[Epub]     CrossRef
  • An analysis of exogenous harmful substance exposure as risk factors for COPD and hypertension co-morbidity using PSM
    Qingyang Chen, Haodong Zhou, Jiarong Tang, Yingbiao Sun, Geriletu Ao, Hongjun Zhao, Xuhong Chang
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Impact of Postoperative Naples Prognostic Score to Predict Survival in Patients with Stage II–III Colorectal Cancer
    Su Hyeong Park, Hye Seung Woo, In Kyung Hong, Eun Jung Park
    Cancers.2023; 15(20): 5098.     CrossRef
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