Modeling Disease Progression in Alzheimer's and Parkinson's disease

 
   Lead Investigator:    Shenqiu Zhang
   Institution      :    University of Exeter Medical School
   E-Mail           :    shenqiu.zhang@exeter.ac.uk
   Proposal ID      :    340


   Publications:


1  Green C, Zhang S
   Predicting the progression of Alzheimer's disease dementia: A multidomain health policy model
   Journal Article  Alzheimers Dement,12:776-785,2016,PMC5104191

   PUBLISHED





   Proposal Description:
   We focus on novel methods for analyzing complex multivariate longitudinal data from natural history studies and clinical trials, to inform the assessment of clinical and cost effectiveness of treatments. Specifically, we use modern statistical analysis to model disease activity and progression. We plan to address four questions: 1) Can new statistical modeling techniques improve upon conventionally applied statistical methods in estimating the clinical and cost-effectiveness of treatment for Alzheimer???s and Parkinson???s disease? 2) How can multivariate longitudinal patient data be used to model disease activity and progression? 3) How can the recognized heterogeneity in the pattern and rapidity of disease progression be quantified to predict disease progression across different patient characteristics/groups?