13195_2017_332_MOESM2_ESM.xlsx (40.87 kB)

Additional file 2: of Data-driven identification of endophenotypes of Alzheimerâs disease progression: implications for clinical trials and therapeutic interventions

dataset

posted on 2018-01-15, 05:00 authored by Nophar Geifman, Richard Kennedy, Lon Schneider, Iain Buchan, Roberta Brinton

List of a priori specified patient-level variables at baseline that were used to define the identified classes distinguishing characteristics (XLSX 40 kb)

Funding

National Institute on Aging

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Keywords

Alzheimerâs disease Precision medicine Endophenotypes Machine learning Statistical learning Latent class mixed models

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CC BY + CC0

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Additional file 2: of Data-driven identification of endophenotypes of Alzheimerâs disease progression: implications for clinical trials and therapeutic interventions