A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid...
A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging
About this item
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Publisher
United States: Elsevier Inc
Journal title
Language
English
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Publication information
Publisher
United States: Elsevier Inc
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Scope and Contents
Contents
It is important to characterize the temporal trajectories of disease-related biomarkers in order to monitor progression and identify potential points of intervention. These are especially important for neurodegenerative diseases, as therapeutic intervention is most likely to be effective in the preclinical disease stages prior to significant neuron...
Alternative Titles
Full title
A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4912927
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4912927
Other Identifiers
ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2016.04.001
