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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Detalles Bibliográficos
Autores principales: Moore, Camille M., MaWhinney, Samantha, Carlson, Nichole E., Kreidler, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539484/
https://www.ncbi.nlm.nih.gov/pubmed/33028226
http://dx.doi.org/10.1186/s12874-020-01135-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539484/
https://www.ncbi.nlm.nih.gov/pubmed/33028226
http://dx.doi.org/10.1186/s12874-020-01135-3

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