Ware J H, Lipsitz S, Speizer F E
Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115.
Stat Med. 1988 Jan-Feb;7(1-2):95-107. doi: 10.1002/sim.4780070113.
This paper discusses statistical methods for the analysis of repeated observations of categorical variables as they might arise in longitudinal studies. Two general types of models are described: marginal models that give representations for the marginal distribution of response at each occasion, and transitional models that give representations for the transition probabilities between outcome states at successive occasions. The conceptual and technical differences are discussed and recent work advancing both approaches is reviewed. The two approaches are illustrated through analysis of repeated observations on interval history of the respiratory symptom 'persistent wheeze' in preadolescent children.
本文讨论了用于分析纵向研究中可能出现的分类变量重复观测值的统计方法。描述了两种一般类型的模型：边际模型，它给出了每次观测时响应的边际分布的表示；以及过渡模型，它给出了连续观测时结果状态之间的转移概率的表示。讨论了概念和技术上的差异，并回顾了推进这两种方法的近期工作。通过对青春期前儿童呼吸道症状“持续性喘息”的间隔病史重复观测值的分析，对这两种方法进行了说明。
