Applications of continuous time hidden Markov models to the study of misclassified disease outcomes.

@article{Bureau2003ApplicationsOC,
  title={Applications of continuous time hidden Markov models to the study of misclassified disease outcomes.},
  author={Alexandre Bureau and Stephen C. Shiboski and James P. Hughes},
  journal={Statistics in medicine},
  year={2003},
  volume={22 3},
  pages={441-62}
}
Disease progression in prospective clinical and epidemiological studies is often conceptualized in terms of transitions between disease states. Analysis of data from such studies can be complicated by a number of factors, including the presence of individuals in various prevalent disease states and with unknown prior disease history, interval censored observations of state transitions and misclassified measurements of disease states. We present an approach where the disease states are modelled… CONTINUE READING

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