A latent model approach to study postural instability for Parkinson's disease

Peng Huang, Ming Hui Chen, Debajyoti Sinha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Postural instability is an important measure of Parkinson's disease conditions. Because of the fluctuation of clinical symptoms and large inter-rater and intra-rater variation, traditional method of analyzing postural instability using its onset time measure can result in controversial conclusion of treatment benefit. We propose a Brownian motion based latent structure model to study treatment's effect on postural instability The new method not only incorporates patient's multiple onset times, but also the special covariate structure of postural instability process. The proposed model does not require even-spaced visiting schedules, and the correlation of the binary process is naturally built through the underlying latent Brownian motion process. Theoretical and computational properties of the proposed model are examined. A dataset from a double-blinded multicenter Parkinson's disease clinical trial is used to demonstrate the methodology.

Original languageEnglish (US)
Title of host publicationBioMedical Engineering and Informatics
Subtitle of host publicationNew Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Pages463-468
Number of pages6
DOIs
StatePublished - Sep 17 2008
Externally publishedYes
EventBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 - Sanya, Hainan, China
Duration: May 27 2008May 30 2008

Publication series

NameBioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Volume1

Other

OtherBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
CountryChina
CitySanya, Hainan
Period5/27/085/30/08

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Biomedical Engineering

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  • Cite this

    Huang, P., Chen, M. H., & Sinha, D. (2008). A latent model approach to study postural instability for Parkinson's disease. In BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 (pp. 463-468). [4548712] (BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008; Vol. 1). https://doi.org/10.1109/BMEI.2008.337