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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...
Autores principales: | Guerra-Peña, Kiero, García-Batista, Zoilo Emilio, Depaoli, Sarah, Garrido, Luis Eduardo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164627/ https://www.ncbi.nlm.nih.gov/pubmed/32302350 http://dx.doi.org/10.1371/journal.pone.0231525 |
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