A Mixture Model To Classify Individual Profiles Of Repeated Measurements

  • Toshiro Tango
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


To evaluate the treatment effects in a randomized experiment, Tango(1989, Japanese Journal of Applied Statistics,18, 143–161) and Skene and White(1992, Statistics in Medicine,11,2111–2122), independently, proposed similar mixture models in which the effects of treatment were characterized by the shape of common latent profiles and the mixing proportion of these profiles. This paper describes the difference between the two procedures and presents a generalized model to cope with improper longitudinal records. The usefulness of the proposed methods are illustrated with data from clinical trials.


Mixture Model Likelihood Ratio Test Latent Profile Individual Profile Glutamate Pyruvate 


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Copyright information

© Springer Japan 1998

Authors and Affiliations

  • Toshiro Tango
    • 1
  1. 1.Division of Theoretical EpidemiologyThe Institute of Public HealthMinato-ku, Tokyo 108Japan

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