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A hidden Markov model approach to analyze longitudinal ternary outcomes when some observed states are possibly

Julia S Benoit1,2, Wenyaw Chan2, Sheng Luo2

  • 1Texas Institute for Measurement, Evaluation, and Statistics and Department of Basic Vision Sciences, College of Optometry, The University of Houston, Houston, TX, 77204, U.S.A.

Statistics in Medicine
|January 20, 2016
PubMed

Keywords:
disease progressionhidden Markov modellongitudinal data analysismisclassification

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