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Bayesian modeling of the dependence in longitudinal data via partial autocorrelations and marginal variances
Many parameters and positive-definiteness are two major obstacles in estimating and modelling a correlation matrix for longitudinal data. In addition, when longitudinal data is incomplete, incorrectly modelling the correlation matrix often results in bias in estimating mean regression parameters. In...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2012
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3640593/ https://ncbi.nlm.nih.gov/pubmed/23645941 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmva.2012.11.010 |
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