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Class enumeration false positive in skew-t family of continuous growth mixture models

Growth Mixture Modeling (GMM) has gained great popularity in the last decades as a methodology for longitudinal data analysis. The usual assumption of normally distributed repeated measures has been shown as problematic in real-life data applications. Namely, performing normal GMM on data that is ev...

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Bibliografske podrobnosti
izdano v:PLoS One
Main Authors: Guerra-Peña, Kiero, García-Batista, Zoilo Emilio, Depaoli, Sarah, Garrido, Luis Eduardo
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2020
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7164627/
https://ncbi.nlm.nih.gov/pubmed/32302350
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0231525
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