Latent Class Growth Modelling: A Tutorial
Latent Class Growth Modelling: A Tutorial
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DOI：
10.20982/tqmp.05.1.p011
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发表时间：
2009-01-01
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影响因子：
--
通讯作者：
Louvet, Benoit
中科院分区：
文献类型：
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作者：
Andruff, Heather;Carraro, Natasha;Louvet, Benoit
本文介绍了潜在班级增长模型(LCGM)。LCGM是一种用于分析纵向数据的半参数统计技术。当数据遵循一种变化模式时使用它，在这种模式中，自变量和因变量之间的关系的强度和方向在不同的情况下都不同。该分析确定了不同的个体亚群，这些个体在感兴趣的变量上随着年龄或时间的变化而呈现出不同的模式。本教程的目的是向读者介绍LCGM，并提供一个具体的例子，说明如何使用真实世界的数据集和SAS软件包以及附带的Proc Traj应用程序来执行分析。文中还讨论了该技术的优点和局限性。
The present work is an introduction to Latent Class Growth Modelling (LCGM). LCGM is a semi-parametric statistical technique used to analyze longitudinal data. It is used when the data follows a pattern of change in which both the strength and the direction of the relationship between the independent and dependent variables differ across cases. The analysis identifies distinct subgroups of individuals following a distinct pattern of change over age or time on a variable of interest. The aim of the present tutorial is to introduce readers to LCGM and provide a concrete example of how the analysis can be performed using a real-world data set and the SAS software package with accompanying PROC TRAJ application. The advantages and limitations of this technique are also discussed.