Simple descriptive missing data indicators in longitudinal studies with attrition, intermittent missing data and a high number of follow-ups

OBJECTIVE: Missing data in longitudinal studies may constitute a source of bias. We suggest three simple missing data indicators for the initial phase of getting an overview of the missingness pattern in a dataset with a high number of follow-ups. Possible use of the indicators is exemplified in two...

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Detalles Bibliográficos
Autores principales: Wærsted, Morten, Børnick, Taran Svenssen, Twisk, Jos W. R., Veiersted, Kaj Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809924/
https://www.ncbi.nlm.nih.gov/pubmed/29433533
http://dx.doi.org/10.1186/s13104-018-3228-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809924/
https://www.ncbi.nlm.nih.gov/pubmed/29433533
http://dx.doi.org/10.1186/s13104-018-3228-6

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