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Analysis of longitudinal data using a finite mixture model

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Abstract

This paper considers a finite mixture model for longitudinal data, which can be used to study the dependency of the shape of the respective follow-up curves on treatments or other influential factors and to classify these curves. An EM-algorithm to achieve the ml-estimate of the model is given. The potencies of the model are demonstrated using data of a clinical trial.

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Authors and Affiliations

  1. Department of Epidemiology, Free University Berlin, Augustastr. 37, D-12203, Berlin, Germany

    E. Dietz & D. Böhning

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  1. E. Dietz
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  2. D. Böhning
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Dietz, E., Böhning, D. Analysis of longitudinal data using a finite mixture model. Statistical Papers 35, 203–210 (1994). https://doi.org/10.1007/BF02926414

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  • DOI: https://doi.org/10.1007/BF02926414

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