Estimating transition probabilities for Alzheimer's disease states

 
   Lead Investigator:    Marric Buessing
   Institution      :    Medicus Economics, LLC
   E-Mail           :    marric.buessing@medicuseconomics.com
   Proposal ID      :    1005



   Proposal Description:
   This project plans to assess transition probabilities for various definitions of Alzheimer's disease health states. These health state definitions could potentially be based on CDR, MMSE, and other combinations of functional assessment. Transition likelihood will be estimated controlling for observable patient characteristics and risk factors. The resulting transition matrix will be used to develop a model assessing the progression to later stages of disease, rates of institutionalization and death. Given the variability in existing published estimates of Alzheimer's disease progression likelihoods, this study will explore the importance of time in state on transition likelihood.