A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression
Author:
Affiliation:
1. Mayo Clinic, Rochester, MN;
2. Department of Statstics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2019.1594831
Reference18 articles.
1. Applications of continuous time hidden Markov models to the study of misclassified disease outcomes
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5. Transition rates between amyloid and neurodegeneration biomarker states and to dementia: a population-based, longitudinal cohort study
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