Royal Statistical Society
Statistical Computing Section

Latent Class Analysis and Finite Mixture Models Meeting

Classical latent class analysis is a technique for probabalistic clustering, finding subtypes of related cases from multivariate categorical data. This half day meeting discusses extensions and developments in latent class modelling. Software implementations in Latent GOLD and STATA will be discussed, with applications from medicine, management and the social sciences.

"Applications of Latent Class Analysis: an Introduction to the Technique and the LatentGOLD Software"

JEROEN K. VERMUNT (Department of Methodology and Statistics, Tilburg University )

"Using the latent class model for the analysis of misclassified data"

ARDO VAN DEN HOUT and PETER VAN DER HEIDEN (Department of Methodology and Statistics, Utrecht University )

"Latent classes: discrete random effects and factors in GLLAMM"

ANDREW PICKLES, SOPHIA RABE-HESKETH and ANDERS SKRONDAL (School of Epidemiology and Health Science, University of Manchester )


Date & Time

Wednesday 27th November 2002 at 2:00 - 5:15 pm


Errol Street


There will be tea and biscuits served at 3:00 pm.


Phil Bowtell (01784 498374)

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Last updated on 22nd September 2003