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Latent class analysis of persistent disturbing behaviour patients by using longitudinal profiles

Author

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  • Liesbeth Bruckers
  • Jan Serroyen
  • Geert Molenberghs
  • Herman Slaets
  • Willem Goeyvaerts

Abstract

Summary. Persistent disturbing behaviour refers to a chronic condition in highly unstable, therapy resistant psychiatric patients. Because these patients are difficult to maintain in their natural living environment and even in hospital wards, purposely designed residential psychiatric facilities need to be established. Therefore, it is important to define and circumscribe the group carefully. Serroyen and co‐workers, starting from the longitudinal analysis of a score based on data from the Belgian national psychiatric registry, undertook a discriminant analysis to distinguish persistent disturbing behaviour patients from a control group. They also indicated that there is scope for further subdividing the persistent disturbing behaviour patients into two subgroups, using conventional cluster analysis techniques. We employ a variety of novel longitudinal‐data‐based cluster analysis techniques. These are based on either conventional growth models, growth–mixture models or latent class growth models. Unlike in earlier analyses, where some evidence for two groups was found, there now is an indication of three groups, which is a finding with high practical and organizational relevance.

Suggested Citation

  • Liesbeth Bruckers & Jan Serroyen & Geert Molenberghs & Herman Slaets & Willem Goeyvaerts, 2010. "Latent class analysis of persistent disturbing behaviour patients by using longitudinal profiles," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(3), pages 495-512, May.
    • Handle: RePEc:bla:jorssc:v:59:y:2010:i:3:p:495-512
    DOI: 10.1111/j.1467-9876.2009.00704.x
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    1. Venkatram Ramaswamy & Wayne S. Desarbo & David J. Reibstein & William T. Robinson, 1993. "An Empirical Pooling Approach for Estimating Marketing Mix Elasticities with PIMS Data," Marketing Science, INFORMS, vol. 12(1), pages 103-124.
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    1. Nicola Barban & Francesco C. Billari, 2012. "Classifying life course trajectories: a comparison of latent class and sequence analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 61(5), pages 765-784, November.

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