How to deal with missing longitudinal data in cost of illness analysis in Alzheimer’s disease—suggestions from the GERAS observational study

BACKGROUND: Missing data are a common problem in prospective studies with a long follow-up, and the volume, pattern and reasons for missing data may be relevant when estimating the cost of illness. We aimed to evaluate the effects of different methods for dealing with missing longitudinal cost data...

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Detalhes bibliográficos
Publicado no:BMC Med Res Methodol
Main Authors: Belger, Mark, Haro, Josep Maria, Reed, Catherine, Happich, Michael, Kahle-Wrobleski, Kristin, Argimon, Josep Maria, Bruno, Giuseppe, Dodel, Richard, Jones, Roy W, Vellas, Bruno, Wimo, Anders
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2016
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4950752/
https://ncbi.nlm.nih.gov/pubmed/27430559
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-016-0188-1
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