Robust Norms for UDS Cognitive Test Battery and Utility of Individual Tests

 
   Lead Investigator:    Steven Ferris
   Institution      :    NYU
   E-Mail           :    steven.ferris@nyumc.org
   Proposal ID      :    92


   Publications:


1  De Santi, S, Pirraglia, E, Ferris, SH, Morris, JC, Weintraub, S and Johnson, N
   Robust norms for the ADC UDS cognitive test battery
   Abstract  Alzheimers Dement,6:S495-S496,2010,

   PUBLISHED



2  Pirraglia E, Lobach I, De Santi S, Karantzoulis S, Glodzik L, de Leon MJ
   A Comparison of Methods for Deriving Normative Scores for Evaluating Cognitive Impairment
   Abstract  Alzheimers Dement,8:P541-P542,2012,

   PUBLISHED



3  Pirraglia E, Murray J, De Santi S, Mosconi L, Glodzik L, de Leon MJ
   Maternal History and Impaired Memory Predicts Future Decline to Dementia in Cognitively Normal Individuals
   Abstract  Alzheimers Dement,8:P542,2012,

   PUBLISHED





   Proposal Description:
   We will examine normal individuals who remain normal and those who decline to MCI or AD.  We have developed regression based Robust norms which use demographic data as well as testing data to derive z scores. We are interested in using the extended sample to test our norms and to see how well these norms classify the longitudinal outcome groups (stable, decline to MCI or AD) with a stepwise logistic regression analysis.  Using separate logistic regression equations, we will also determine the relative prediction utility (specificity, sensitivity, and overall classification) of each individual UDS test.