How to deal with missing longitudinal data in cost of illness analysis in Alzheimer’s disease—suggestions from the GERAS observational study-Reference-Cited by-同舟云学术

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

Published:2016-07-18 Issue:1 Volume:16 Page:
ISSN:1471-2288
Container-title:BMC Medical Research Methodology
language:en
Short-container-title:BMC Med Res Methodol

Author:

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

Funder

Eli Lilly and Company (US)

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Epidemiology

Link

http://link.springer.com/content/pdf/10.1186/s12874-016-0188-1.pdf

Reference32 articles.

1. Schott JM, Bartlett JW. Investigating missing data in Alzheimer disease studies. Neurology. 2012;78:1370–1.

2. Coley N, Gardette V, Cantet C, Gillette-Guyonnet S, Nourhashemi F, Vellas B, et al. How should we deal with missing data in clinical trials involving Alzheimer’s disease patients? Curr Alzheimer Res. 2011;8:421–33.

3. Little RJA, Rubin DB. Statistical analysis with missing data. New York: Wiley; 1987.

4. Wimo A, Reed CC, Dodel R, Belger M, Jones RW, Happich M, et al. The GERAS study: a prospective observational study of costs and resource use in community dwellers with Alzheimer’s disease in three European countries—study design and baseline findings. J Alzheimers Dis. 2013;36:385–99.

5. Lo RY, Jagust WJ. For the Alzheimer’s disease neuroimaging initiative. Predicting missing biomarker data in a longitudinal study of Alzheimer disease. Neurology. 2012;78:1376–82.

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