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Adaptive Fitting of Linear Mixed-Effects Models with Correlated Random-effects
Linear mixed-effects model has been widely used in longitudinal data analyses. In practice, the fitting algorithm can fail to converge due to boundary issues of the estimated random-effects covariance matrix G, i.e., being near-singular, non-positive definite, or both. Current available algorithms a...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2012
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3836449/ https://ncbi.nlm.nih.gov/pubmed/24273355 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00949655.2012.690763 |
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