Constructing longitudinal disease progression curves using sparse, short-term individual data with an application to Alzheimer's disease-Reference-Cited by-同舟云学术

Constructing longitudinal disease progression curves using sparse, short-term individual data with an application to Alzheimer's disease

Published:2017-04-25 Issue:17 Volume:36 Page:2720-2734
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Budgeon C.A.¹²^ORCID,Murray K.³^ORCID,Turlach B.A.¹^ORCID,Baker S.⁴,Villemagne V.L.⁵⁶,Burnham S.C.²^ORCID,

Affiliation:

1. Centre for Applied Statistics; University of Western Australia; Crawley Western Australia Australia

2. eHealth, Health and Biosecurity; Commonwealth Scientific and Industrial Research Organisation (CSIRO); Floreat Western Australia Australia

3. School of Population and Global Health; University of Western Australia; Crawley Western Australia Australia

4. Janssen Research and Development; Titusville NJ USA

5. Department of Nuclear Medicine and Centre for PET; Austin Health; Heidelberg Victoria Australia

6. The Florey Institute for Neuroscience and Mental Health; The University of Melbourne; Victoria Australia

Funder

Pawsey Supercomputing Centre

Australian Institute of Health and Welfare, Australian Government

Department of Health, Government of Western Australia

Alzheimer's Disease Neuroimaging Initiative (ADNI)

DOD ADNI

National Institute on Aging

National Institute of Biomedical Imaging and Bioengineering

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

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