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Assessing the Nature of Periodontal Disease Progression —An Application of Covariance Structure Estimation

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  • J. A. C. Sterne
  • A. Kingman
  • H. LÖE

Abstract

Differing theories of the nature of periodontal disease progression have been proposed, but there is no convincing statistical evidence with which to choose between them. Three models for disease progression are developed, and their covariance structures are derived and shown to be hierarchical. The estimation of the covariance structures of the three models is illustrated with both simulated data and data from a long‐term study of periodontal disease progression. The study provides insight into both the nature of periodontal disease progression and the use of the estimation of covariance structural models to distinguish between models for which a likelihood is not completely specified.

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  • J. A. C. Sterne & A. Kingman & H. LÖE, 1992. "Assessing the Nature of Periodontal Disease Progression —An Application of Covariance Structure Estimation," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(3), pages 539-552, November.
    • Handle: RePEc:bla:jorssc:v:41:y:1992:i:3:p:539-552
    DOI: 10.2307/2348088
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    Cited by:

    1. Hyun Joung Jin & Jang-Chul Kim, 2008. "The effects of the BSE outbreak on the security values of US agribusiness and food processing firms," Applied Economics, Taylor & Francis Journals, vol. 40(3), pages 357-372.
    2. Youn, Hyungho & Jin, Hyun Joung, 2016. "The effects of progressive pricing on household electricity use," Journal of Policy Modeling, Elsevier, vol. 38(6), pages 1078-1088.

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