A competing risk joint model for dealing with different types of missing data in an intervention trial in prodromal Alzheimer’s disease

BACKGROUND: Missing data can complicate the interpretability of a clinical trial, especially if the proportion is substantial and if there are different, potentially outcome-dependent causes. METHODS: We aimed to obtain unbiased estimates, in the presence of a high level of missing data, for the int...

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Detalles Bibliográficos
Autores principales: van Oudenhoven, Floor M., Swinkels, Sophie H. N., Soininen, Hilkka, Kivipelto, Miia, Hartmann, Tobias, Rizopoulos, Dimitris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983401/
https://www.ncbi.nlm.nih.gov/pubmed/33752738
http://dx.doi.org/10.1186/s13195-021-00801-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983401/
https://www.ncbi.nlm.nih.gov/pubmed/33752738
http://dx.doi.org/10.1186/s13195-021-00801-y

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