Composite Endpoints Sensitive to the Earliest Stages of Alzheimer's Disease

 
   Lead Investigator:    Steven Edland
   Institution      :    UCSD
   E-Mail           :    sedland@ucsd.edu
   Proposal ID      :    613



   Proposal Description:
   Composite endpoints defined as the weighted average of component scales will be                                                                                   constructed from the C1/C2 neuropsychometric battery.  The performance of         optimally weighted composites  (as defined in Ard et al, Pharmaceut. Statist.     2015, 14 418???426) will be characterized, with focus on the reproducibility of                                                                                  weight estimates when calculated from subsets of the data, and with               investigations of power to detect subtle cognitive decline in normal elderly,     e.g., the power to detect differences in rate of decline in E4+ versus E4-        controls, and the power to detect differences in rate of decline in subjects      who do and do not convert to CDR>0 on followup visits.