VanderWeele Tyler
Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA.
Int J Methods Psychiatr Res. 2006 Jun;15(2):95-103. doi: 10.1002/mpr.183.
The use of propensity score methods has become increasing widespread in public health, in medicine and in many other settings involving research with observational studies. The methods provide a useful and straightforward way of simultaneously controlling for many variables that potentially confound the relationship between a specific outcome and the treatment or exposure under study. The methods assist the researcher in avoiding certain dangers in more traditional regression modelling and, in the case of binary outcomes, allow for the control of a greater number of potential confounders. The use of propensity score techniques has been fairly limited in psychiatry, largely to studies of health care delivery and use. An introduction to propensity score methods is given and a series of examples illustrating their use in psychiatric research is presented.
倾向得分方法在公共卫生、医学以及许多其他涉及观察性研究的领域中使用得越来越广泛。这些方法提供了一种有用且直接的方式，可同时控制许多可能混淆特定结果与所研究的治疗或暴露之间关系的变量。这些方法有助于研究人员避免传统回归建模中存在的某些风险，并且在二元结果的情况下，能够控制更多潜在的混杂因素。倾向得分技术在精神病学中的应用相当有限，主要用于医疗保健服务与使用方面的研究。本文介绍了倾向得分方法，并给出了一系列说明其在精神病学研究中应用的示例。
