A mixed-effects multinomial logistic regression model
A mixed-effects multinomial logistic regression model
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DOI：
10.1002/sim.1522
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发表时间：
2003-05-15
影响因子：
2
通讯作者：
Hedeker, D
中科院分区：
文献类型：
--
作者：
Hedeker, D
混合效应多项逻辑回归模型描述了分析聚类或纵向标称或序数响应数据。该模型是参数化的，以便在选择用于表示跨响应类别的比较的对比时具有灵活性。估计是使用最大边际似然（MML）解决方案实现的，该解决方案使用正交对随机效应的分布进行数值积分。对一组精神病学数据进行分析，其中有严重精神疾病的无家可归的成年人根据他们的生活安排被反复分类，用来说明模型的特征。版权所有：John Wiley Sons， Ltd。
A mixed-effects multinomial logistic regression model is described for analysis of clustered or longitudinal nominal or ordinal response data. The model is parameterized to allow flexibility in the choice of contrasts used to represent comparisons across the response categories. Estimation is achieved using a maximum marginal likelihood (MML) solution that uses quadrature to numerically integrate over the distribution of random effects. An analysis of a psychiatric data set, in which homeless adults with serious mental illness are repeatedly classified in terms of their living arrangement, is used to illustrate features of the model. Copyright (C) 2003 by John Wiley Sons, Ltd.