Additional file 2: of Data-driven identification of endophenotypes of Alzheimerâs disease progression: implications for clinical trials and therapeutic interventions
Nophar Geifman
Richard Kennedy
Lon Schneider
Iain Buchan
Roberta Brinton
10.6084/m9.figshare.5826771.v1
https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Data-driven_identification_of_endophenotypes_of_Alzheimer_s_disease_progression_implications_for_clinical_trials_and_therapeutic_interventions/5826771
List of a priori specified patient-level variables at baseline that were used to define the identified classes distinguishing characteristics (XLSX 40 kb)
2018-01-15 05:00:00
Alzheimerâs disease
Precision medicine
Endophenotypes
Machine learning
Statistical learning
Latent class mixed models