Residual Associations in Latent Class and Latent Transition Analysis
Residual Associations in Latent Class and Latent Transition Analysis
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DOI：
10.1080/10705511.2014.935844
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发表时间：
2015-04-03
影响因子：
6
通讯作者：
Muthen, Bengt
中科院分区：
文献类型：
--
作者：
Asparouhov, Tihomir;Muthen, Bengt
本文探讨了一种建模二进制和有序分类变量之间的关联的方法。由于观测数据的对数似然函数具有显式形式，因此极大似然估计可用于多变量模型而无需数值积分。关联模型对于混合模型处理违反局部独立性假设的情况特别有用。潜在的类和潜在的转换分析的应用。
This article explores a method for modeling associations among binary and ordered categorical variables. The method has the advantage that maximum-likelihood estimation can be used in multivariate models without numerical integration because the observed data log-likelihood has an explicit form. The association model is especially useful with mixture models to handle violations of the local independence assumption. Applications to latent class and latent transition analysis are presented.