Rabe-Hesketh Sophia, Skrondal Anders
Graduate School of Education and Graduate Group in Biostatistics, University of California, Berkeley, CA 94720-1670, USA.
Stat Methods Med Res. 2008 Feb;17(1):5-32. doi: 10.1177/0962280207081236. Epub 2007 Sep 13.
Latent variable models are commonly used in medical statistics, although often not referred to under this name. In this paper we describe classical latent variable models such as factor analysis, item response theory, latent class models and structural equation models. Their usefulness in medical research is demonstrated using real data. Examples include measurement of forced expiratory flow, measurement of physical disability, diagnosis of myocardial infarction and modelling the determinants of clients' satisfaction with counsellors' interviews.
潜在变量模型在医学统计学中普遍使用，尽管通常不会以这个名称提及。在本文中，我们描述了经典的潜在变量模型，如因子分析、项目反应理论、潜在类别模型和结构方程模型。通过实际数据展示了它们在医学研究中的实用性。实例包括用力呼气流量的测量、身体残疾的测量、心肌梗死的诊断以及对来访者对咨询面谈满意度的决定因素进行建模。
