Latent class mediator for multiple indicators of mediation.
Latent class mediator for multiple indicators of mediation.
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潜在类别中介对多指标的中介作用。
DOI：
10.1002/sim.8929
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发表时间：
2021-05-30
影响因子：
2
通讯作者：
Lin H
中科院分区：
文献类型：
--
作者：
Sint K;Rosenheck R;Lin H
本文展示了潜在类在评估干预对结果通过多个调解指标评估结果的影响方面的实用性。这些指标被观察到识别潜在的潜在类中介的中间变量，每个类代表不同的介体途径。潜在类中介者的使用使我们避免对多个指标之间的复杂相互作用进行建模，并确保将总介体效应分解为单个介导途径的加性效应，这是评估多个调解指标的理想特征。当目标是估计可以分解为不同介导途径的添加效应的总介导效应时，此方法是合适的。每个指标可能参与多个调解途径，同时多个指标可能有助于单个中介途径。每种途径的相对重要性可能会因受试者而异。我们将此方法应用于对成年人在精神分裂症的第一集中对成年人的2年聚类随机试验的前6个月的分析。考虑了四个调解指标：个人弹性训练；家庭心理教育；支持教育和就业；以及药物的结构评估。发现症状的改善是由从这四个服务指标得出的潜在类调解人介导的。进行了仿真研究以评估所提出的模型的性能，并表明当指标的熵较高时，通过最大似然的同时估计几乎不会产生偏差。
This paper demonstrates the utility of latent classes in evaluating the effect of an intervention on an outcome through multiple indicators of mediation. These indicators are observed intermediate variables that identify an underlying latent class mediator, with each class representing a different mediating pathway. The use of a latent class mediator allows us to avoid modeling the complex interactions between the multiple indicators and ensures the decomposition of the total mediating effects into additive effects from individual mediating pathways, a desirable feature for evaluating multiple indicators of mediation. This method is suitable when the goal is to estimate the total mediating effects that can be decomposed into the additive effects of distinct mediating pathways. Each indicator may be involved in multiple mediation pathways and at the same time multiple indicators may contribute to a single mediating pathway. The relative importance of each pathway may vary across subjects. We applied this method to the analysis of the first 6 months of data from a 2-year clustered randomized trial for adults in their first episode of schizophrenia. Four indicators of mediation are considered: individual resiliency training; family psychoeducation; supported education and employment; and a structural assessment for medication. The improvement in symptoms was found to be mediated by the latent class mediator derived from these four service indicators. Simulation studies were conducted to assess the performance of the proposed model and showed that the simultaneous estimation through the maximum likelihood yielded little bias when the entropy of the indicators was high.
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