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...

詳細記述

保存先:
書誌詳細
出版年:BMC Med Res Methodol
主要な著者: 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
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2016
主題:
Research Article
オンライン･アクセス: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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