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Centre for Multilevel Modelling, University of Bristol


Summary

The Centre for Multilevel Modelling (CMM) is a research centre based at the University of Bristol. Its researchers are drawn from the School of Education. CMM collaborates with a range of researchers in the School of Geographical Sciences, School of Social and Community Medicine and School of Veterinary Sciences working with multilevel models.

Multilevel modelling is one of the basic techniques used in quantitative social science research for modelling data with complex hierarchical structures. The centre focuses on producing new statistical methods for tackling research questions, developing new software for implementing this methodology and disseminating these techniques to the national and international social science community.


Senior fellow

Research interests

  • Development of new statistical methodology and software for the fitting of models that account for the realistic complexity that exists in data sets collected in practice.
  • Using these methods on applied problems, by acting as the statistical lead on more application focussed grants. Areas of study include: education, crime, ecology, animal behaviour and veterinary epidemiology.

Selected publications

  • BROWNE, WJ & DRAPER D (2006). A COMPARISON OF BAYESIAN AND LIKELIHOOD METHODS FOR FITTING MULTILEVEL MODELS (WITH DISCUSSION). BAYESIAN ANALYSIS. 1: 473-550. DOI: 10.1214/06-BA117
  • BROWNE, WJ, GOLALIZADEH, M, GREEN MJ, & STEELE F. (2009) THE USE OF CENTRED PARAMETERISATIONS AND MARKOV CHAIN MONTE CARLO (MCMC) ESTIMATION TO FIT MULTILEVEL DISCRETE-TIME SURVIVAL MODELS. JRSS, SERIES A. 172, 579-598. DOI: 10.1111/j.1467-985X.2009.00586.x
  • BROWNE, WJ AND GOLDSTEIN, H (2010). MCMC SAMPLING FOR A RANDOM INTERCEPTS MODEL WITH NON-INDEPENDENT RESIDUALS WITHIN AND BETWEEN CLUSTER UNITS. JEBS. 35: 453-473. DOI: 10.3102/1076998609359788
  • GOLDSTEIN, H, CARPENTER, J AND BROWNE, WJ (2014). FITTING MULTILEVEL MULTIVARIATE MODELS WITH MISSING DATA IN RESPONSES AND COVARIATES THAT MAY INCLUDE INTERACTIONS AND NONLINEAR TERMS. JRSS, SERIES A. 177:553-564. DOI: 10.1111/rssa.12022
  • TRANMER, M, STEEL, D AND BROWNE, WJ, (2014). MULTIPLE MEMBERSHIP MULTIPLE-CLASSIFICATION MODELS FOR SOCIAL NETWORK AND GROUP DEPENDENCIES. JRSS, SERIES A. 177:439-455. DOI: 10.1111/rssa.12021
  • STEELE, FA, WASHBROOK, E., CHARLTON, C. AND BROWNE WJ (2016) A LONGITUDINAL MIXED LOGIT MODEL FOR ESTIMATION OF PUSH AND PULL EFFECTS IN RESIDENTIAL LOCATION CHOICE. JASA. 111:515, 1061-1074. DOI: 10.1080/01621459.2016.1180984
  • ZHANG, Z., PARKER, RMA, CHARLTON, CMJ, LECKIE, G. AND BROWNE, WJ. (2016) R2MLWIN: A PACKAGE TO RUN MLWIN FROM WITHIN R. JOURNAL OF STATISTICAL SOFTWARE. DOI: 10.18637/jss.v072.i10