How to deal with missing longitudinal data in cost of illness analysis in Alzheimer’s disease—suggestions from the GERAS observational study
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Title
How to deal with missing longitudinal data in cost of illness analysis in Alzheimer’s disease—suggestions from the GERAS observational study
Authors
Keywords
Alzheimer’s disease, Cost of illness, Missing data analysis, Missing data mechanisms, Multiple imputation
Journal
BMC Medical Research Methodology
Volume 16, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-07-18
DOI
10.1186/s12874-016-0188-1
References
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Related references
Note: Only part of the references are listed.- Determinants of societal costs in Alzheimer's disease: GERAS study baseline results
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- Economic Evaluation of an Integrated Diagnostic Approach for Psychogeriatric Patients
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- Missing Data: A Special Challenge in Aging Research
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