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P4‐002: A FRAILTY INDEX BASED ON ROUTINELY COLLECTED LABORATORY SAFETY DATA PREDICTS DROPOUT IN ALZHEIMER DISEASE CLINICAL TRIAL SETTINGS
Author(s) -
Dunn Taylor,
Stanley Justin,
Howlett Susan E.,
Mitnitski Arnold B.,
Rockwood Kenneth
Publication year - 2019
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2019.06.3661
Subject(s) - medicine , dropout (neural networks) , clinical trial , proportional hazards model , linear regression , disease , statistics , mathematics , machine learning , computer science