Multiphase mixed-effects models for repeated measures data.
Multiphase mixed-effects models for repeated measures data.
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DOI：
10.1037//1082-989x.7.1.41
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发表时间：
2002
影响因子：
7
通讯作者：
R. Cudeck;K. Klebe
中科院分区：
文献类型：
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作者：
R. Cudeck;K. Klebe
分阶段发展的行为可能在一个时间段内表现出与其他时间段明显不同的变化率。在这篇文章中，一个混合效应模型的反应，显示可识别的制度进行了回顾。该模型的一个有趣组件是变化点。从实质上讲，变化点是发展从一个阶段切换到另一个阶段的时间。在混合效应模型中，变化点可以是随机系数。这种可能性允许个人在不同的年龄或在不同的治疗时间之后从一个阶段过渡到另一个阶段。详细回顾了两个例子，这两个例子都可以用广泛可用的软件进行估计。
Behavior that develops in phases may exhibit distinctively different rates of change in one time period than in others. In this article, a mixed-effects model for a response that displays identifiable regimes is reviewed. An interesting component of the model is the change point. In substantive terms, the change point is the time when development switches from one phase to another. In a mixed-effects model, the change point can be a random coefficient. This possibility allows individuals to make the transition from one phase to another at different ages or after different lengths of time in treatment. Two examples are reviewed in detail, both of which can be estimated with software that is widely available.