Comparative effective analysis of treatment options for Alzheimer's disease

 
   Lead Investigator:    Michelle Xia
   Institution      :    Northern Illinois University
   E-Mail           :    cxia@niu.edu
   Proposal ID      :    712



   Proposal Description:
   We propose a novel statistical method accounting for covariate                    misclassification when assessing the survival curve and clinical measures of      patients with Alzheimer???s disease. The method can be applied for comparative    effective analysis of the available treatment options for Alzheimer???s           disease. In particular, certain self-reported risk factors such as smoking,       alcohol consumption, depression, diabetes and other health history variables      may be subject to reporting errors, due to the difference in people's             perspectives on the definition of the conditions and undiagnosed cases due to     lack of tests or symptoms. Adjusting for the possible errors will help improve    the accuracy of the results on the comparative effective analysis.