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Regression mixture models: Does modeling the covariance between independent variables and latent classes improve the results?

Regression mixture models are increasingly used as an exploratory approach to identify heterogeneity in the effects of a predictor on an outcome. In this simulation study, we test the effects of violating an implicit assumption often made in these models – i.e., independent variables in the model ar...

詳細記述

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書誌詳細
出版年:Multivariate Behav Res
主要な著者: Lamont, Andrea E., Vermunt, Jeroen K., Van Horn, M. Lee
フォーマット: Artigo
言語:Inglês
出版事項: 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4865372/
https://ncbi.nlm.nih.gov/pubmed/26881956
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00273171.2015.1095063
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