Research Using the NACC Database


Non-homogeneous Markov process models for rate of conversion to MCI 

 
   Lead Investigator:    Rebecca Hubbard
   Institution      :    NACC
   E-Mail           :    azhou@u.washington.edu
   Proposal ID      :    43

Publications: 1 Hubbard R Identifying risk factors for conversion between normal cognition, MCI, and dementia using Markov processes Abstract Alzheimers Dement,4:T675-676,2008,
PUBLISHED
2 Koepsell T, Monsell S Testing the First-Order Markov Assumption in Homogeneous Markov Modeling of Transition Probabilities between Cognitive States Abstract Alzheimers Dement,7:S351-352,2011,
PUBLISHED
3 Chen B, Zhou XH Non-homogeneous Markov process models with informative observations with an application to Alzheimer's disease Journal Article Biom J,53:444-463,2011,PMC3631600
PUBLISHED
4 Hubbard R, Zhou XH A non-homogeneous Markov process model for Alzheimer's disease progression 2008 Abstract Int Biometrics Society 159 ,
PUBLISHED
5 Hubbard RA, Zhou XH A comparison of non-homogeneous Markov regression models with application to Alzheimer's disease progression Journal Article J Appl Stat,38:2313-2326,2011,PMC3299197
PUBLISHED
6 Chen B, Zhou A A Correlated Random Effects Model for Non-homogeneous Markov Process with Nonignorable Missingness Journal Article J Multivar Anal,117:41287,2013,PMC3697104
PUBLISHED
7 Hubbard RA, Zhou A Modeling Risk Factors for Alzheimer's Disease Progression Using a Nonhomogeneous Markov Process 2008 Abstract Joint Statistical Meeting 193 ,
PUBLISHED

Proposal Description:
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NACC is funded by the National Institute on Aging (UO1 AG016976) and located in the Department of Epidemiology at the University of Washington School of Public Health, Walter A. Kukull, Ph.D., Director. Copyright© 2010 University of Washington.