Additional file 2: of Data-driven identification of endophenotypes of Alzheimer’s 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 Alzheimer’s disease Precision medicine Endophenotypes Machine learning Statistical learning Latent class mixed models