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A Bayesian multivariate mixture model for skewed longitudinal data with intermittent missing observations: An application to infant motor development
In studies of infant growth, an important research goal is to identify latent clusters of infants with delayed motor development—a risk factor for adverse outcomes later in life. However, there are numerous statistical challenges in modeling motor development: the data are typically skewed, exhibit...
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| Vydáno v: | Biometrics |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8297425/ https://ncbi.nlm.nih.gov/pubmed/34305152 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.13328 |
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