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多变量纵向概况的联合建模:随机效应方法的陷阱

Joint modelling of multivariate longitudinal profiles: pitfalls of the random-effects approach.

作者信息

Fieuws Steffen, Verbeke Geert

机构信息

Biostatistical Centre, Katholieke Universiteit Leuven, Kapucijnenvoer 35, B-3000 Leuven, Belgium.

出版信息

Stat Med. 2004 Oct 30;23(20):3093-104. doi: 10.1002/sim.1885.

DOI:10.1002/sim.1885
PMID:15449333
Abstract

Due to its flexibility, the random-effects approach for the joint modelling of multivariate longitudinal profiles received a lot of attention in recent publications. In this approach different mixed models are joined by specifying a common distribution for their random-effects. Parameter estimates of this common distribution can then be used to evaluate the relation between the different responses. Using bivariate longitudinal measurements on pure-tone hearing thresholds, it will be shown that such a random-effects approach can yield misleading results for evaluating this relationship.

摘要

由于其灵活性,用于多变量纵向轮廓联合建模的随机效应方法在最近的出版物中受到了广泛关注。在这种方法中,通过为其随机效应指定一个共同分布来连接不同的混合模型。然后,这个共同分布的参数估计可用于评估不同响应之间的关系。使用关于纯音听力阈值的双变量纵向测量,将表明这种随机效应方法在评估这种关系时可能会产生误导性结果。

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