Summarizing the extent of visit irregularity in longitudinal data

BACKGROUND: Observational longitudinal data often feature irregular, informative visit times. We propose descriptive measures to quantify the extent of irregularity to select an appropriate analytic outcome approach. METHODS: We divided the study period into bins and calculated the mean proportions...

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Detalles Bibliográficos
Autores principales: Lokku, Armend, Lim, Lily S., Birken, Catherine S., Pullenayegum, Eleanor M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260811/
https://www.ncbi.nlm.nih.gov/pubmed/32471357
http://dx.doi.org/10.1186/s12874-020-01023-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260811/
https://www.ncbi.nlm.nih.gov/pubmed/32471357
http://dx.doi.org/10.1186/s12874-020-01023-w

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