Reboussin B A, Anthony J C
Department of Public Health Sciences, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
Stat Med. 2001 Feb 28;20(4):623-39. doi: 10.1002/sim.695.
In longitudinal behavioural studies, it is common to have multiple categorical indicators for measuring a theoretical construct of interest. A latent class model is presented that accounts for the structure in a set of correlated, categorical variables measured at discrete time periods, drawing information from these variables to form a smaller number of latent classes. The dependence of the resulting latent class model parameters on suspected factors over time is simultaneously modelled using a baseline-category logistic regression model. Estimation of the model parameters is achieved using an estimating equations procedure. A motivating example is provided from a longitudinal study of suspected linkages between monitoring or supervision by parents and the occurrence of drug use behaviours in an epidemiologic sample of school-attending youths.
在纵向行为研究中，通常会有多个分类指标来衡量感兴趣的理论结构。本文提出了一种潜在类别模型，该模型考虑了在离散时间段测量的一组相关分类变量中的结构，从这些变量中提取信息以形成数量较少的潜在类别。使用基线类别逻辑回归模型同时对所得潜在类别模型参数随时间对可疑因素的依赖性进行建模。通过估计方程程序实现模型参数的估计。本文提供了一个具有启发性的例子，该例子来自一项纵向研究，该研究调查了在一个上学青少年的流行病学样本中，父母的监督与药物使用行为发生之间的可疑联系。
