Jeroen K Vermunt

Summary

Affiliation: Tilburg University
Country: The Netherlands

Publications

  1. pmc The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives
    Eske M Derks
    University Medical Center Utrecht, Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, AMC APC, room PA1 179 Meibergdreef, Amsterdam, AZ 51105, The Netherlands
    BMC Psychiatry 12:71. 2012
  2. ncbi request reprint Latent class and finite mixture models for multilevel data sets
    Jeroen K Vermunt
    Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands
    Stat Methods Med Res 17:33-51. 2008
  3. doi request reprint K-means may perform as well as mixture model clustering but may also be much worse: comment on Steinley and Brusco (2011)
    Jeroen K Vermunt
    Department of Methodology and Statistics, Tilburg University, P O Box 90153, Tilburg, The Netherlands
    Psychol Methods 16:82-8; discussion 89-92. 2011

Collaborators

  • Eske M Derks
  • Marco P M Boks

Detail Information

Publications3

  1. pmc The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives
    Eske M Derks
    University Medical Center Utrecht, Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, AMC APC, room PA1 179 Meibergdreef, Amsterdam, AZ 51105, The Netherlands
    BMC Psychiatry 12:71. 2012
    ..We will introduce a more refined method to distinguish between family subtypes based on psychosis dimension profiles in the relatives of schizophrenia patients...
  2. ncbi request reprint Latent class and finite mixture models for multilevel data sets
    Jeroen K Vermunt
    Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands
    Stat Methods Med Res 17:33-51. 2008
    ..The appendix describes an adapted version of the expectation-maximization algorithm that can be used for maximum likelihood estimation, as well as providing setups for estimating the multilevel LC model with generally available software...
  3. doi request reprint K-means may perform as well as mixture model clustering but may also be much worse: comment on Steinley and Brusco (2011)
    Jeroen K Vermunt
    Department of Methodology and Statistics, Tilburg University, P O Box 90153, Tilburg, The Netherlands
    Psychol Methods 16:82-8; discussion 89-92. 2011
    ..Moreover, I show that KM is equivalent to a restricted mixture model estimated by maximizing the classification likelihood and comment on Steinley and Brusco's recommendation regarding the use of mixture models for clustering...