Statistical Modeling for Alzheimer's Disease: The Uniform Data Set (UDS)

 
   Lead Investigator:    Maryam Habadi
   Institution      :    University of South Florida
   E-Mail           :    mhabadi@mail.usf.edu
   Proposal ID      :    469



   Proposal Description:
   Alzheimer???s disease (AD) is a type of dementia that causes problems with memory, thinking and behavior. Symptoms usually develop slowly and get worse over time, becoming severe enough to interfere with daily tasks.  AD is diagnosed in people over 65 years of age, although it can occurs in much younger people. 26.6 million people worldwide with AD were diagnosed. There is certain factors associate with each individual diagnosed with AD such as Age, weight, family history and other factors. What we need to do is structure a statistical model that identifies the significant risk factors that   attribute AD. In Addition, develop a statistical model that can help when we put all the information of an individual in, identify a cluster if an individual potentially will have Alzheimer???s or not, and the probability of an individual clustered in Alzheimer???s group will actually get Alzheimer???s disease. Moreover, because AD is progressive and no treatments stop or reverse its progression, we would like to evaluate the effectiveness of different types of drugs and treatments Last but not least, we would like to preform survival analysis with Alzheimer???s patients and compare it with non- Alzheimer???s patients.