Identify Right Patients for Alzheimer's Disease in Preclinical Stage

 
   Lead Investigator:    Yuqi Qiu
   Institution      :    University of California San Diego
   E-Mail           :    yuq052@ucsd.edu
   Proposal ID      :    1316



   Proposal Description:
   The goal of this study will be using a novel statistical approach to predict risk of progression at preclinical stage of AD.  Our main objective is to make dynamic prediction on risk of being MCI/AD for  cognitive normal participants at the preclinical stage of AD by multiple  functional principal component analysis and Cox regression (MFPCA-Cox) that  jointly model multiple longitudinal markers and time-to-event variable. Primary analysis will compare if MRI volumes would help improve the risk of progression to MCI/AD prediction in addition to cognitive assessments with internal and external validations.