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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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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2020
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| Soggetti: | |
| Accesso online: | 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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