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Bayesian analysis of longitudinal dyadic data with informative missing data using a dyadic shared-parameter model
Analyzing longitudinal dyadic data is a challenging task due to the complicated correlations from repeated measurements and within-dyad interdependence, as well as potentially informative (or non-ignorable) missing data. We propose a dyadic shared-parameter model to analyze longitudinal dyadic data...
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| Publicado en: | Stat Methods Med Res |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5568500/ https://ncbi.nlm.nih.gov/pubmed/28629259 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280217715051 |
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