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A Bayesian natural cubic B-spline varying coefficient method for non-ignorable dropout
BACKGROUND: Dropout is a common problem in longitudinal clinical trials and cohort studies, and is of particular concern when dropout occurs for reasons that may be related to the outcome of interest. This paper reviews common parametric models to account for dropout and introduces a Bayesian semi-p...
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| Publicado no: | BMC Med Res Methodol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7539484/ https://ncbi.nlm.nih.gov/pubmed/33028226 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-020-01135-3 |
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