Johnson Sindhu R, Tomlinson George A, Hawker Gillian A, Granton John T, Feldman Brian M
Division of Rheumatology, Department of Medicine, Toronto Western Hospital, Mount Sinai Hospital, Ground Floor, East Wing, 399 Bathurst Street, Toronto, Ontario M5T 2S8, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M6, Canada.
Institute of Health Policy, Management and Evaluation, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M6, Canada; Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M7, Canada; Department of Medicine, Division of Support, Systems, and Outcomes, Toronto General Research Institute, Toronto General Hospital, Eaton North, 10th Floor, Room 235, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada.
Rheum Dis Clin North Am. 2018 May;44(2):203-213. doi: 10.1016/j.rdc.2018.01.002.
A challenge to the use of observational data to study treatment effects is the issue of confounding. Noncomparability of exposed and nonexposed subjects can lead to biased estimation of the treatment effect. The propensity score is a balancing score that can be used to form matched groups, or pairs, that are not systematically different and enable nonbiased comparisons between groups. This article reviews propensity score methods with an illustrative example of the application of propensity score matching in an observational study of an uncommon disease (systemic sclerosis).
利用观察性数据研究治疗效果面临的一个挑战是混杂问题。暴露组和非暴露组受试者的不可比性可能导致对治疗效果的估计产生偏差。倾向得分是一个平衡得分，可用于形成没有系统差异的匹配组或配对，从而能够在组间进行无偏比较。本文通过一个关于罕见疾病（系统性硬化症）的观察性研究中倾向得分匹配应用的示例，对倾向得分方法进行综述。
