Controlling for learning effects in dementia data.

 
   Lead Investigator:    Rajesh Talluri
   Institution      :    University of Mississippi Medical Center
   E-Mail           :    rtalluri@umc.edu
   Proposal ID      :    1238



   Proposal Description:
   In dementia research, cognitive function and cognitive decline measures are   widely used to understand factors affecting dementia and to evaluate novel        treatments to improve cognitive function. As the individual is given the          cognition test repeatedly the individual learns and adjusts to the test. This effect called the practice or learning effect confounds the true cognition effect of the individual.                                                         Aim 1: We propose a novel model that estimates learning effects based on the      data available. We want estimate potential learning effects in the NACC           cohorts.                                                                          Aim 2: Incorporate this model into longitudinal mixed model framework to          analyse longitudinal data collected by the cohorts accurately.