Using big data from NACC to construct a predictive models of Alzheimer's
disease. 
   Lead Investigator:    Mingjian Shi
   Institution      :    Vanderbilt University
   E-Mail           :    mingjian.shi@vanderbilt.edu
   Proposal ID      :    901



   Proposal Description:
   To identify the contributors to Alzheimer:  age, sex, weight, height, diet, life habit, genes(APP, ApoE),                     diseases(hypertension, hypercholesterolemia, and obesity, diabetes) and family history of AD                                                                     Genetic Risk or Environmental  Lifestyle Factors?      The specific aims:  1. Using R program to generate the basic descriptive and inferential statistics of control and AD group.  2. Build a predictive (regression) models of AD and to identify the main contributors to this disease.  3. Apply the built regression models to identify the high risk population.