Projects per year
Statistics - Computation, Methodology and Application to the social, veterinary and biological sciences
My research spans the area of statistical modelling, from the development of statistical methods to fit realistically complex statistical models to describe real-life problems, through the implementation of those models in statistical software to the application of the methods in several application areas.
Further details of my work are available at http://seis.bris.ac.uk/~frwjb/
Much of my computational work has been in the development of statistical software within the Centre for Multilevel Modelling that I direct wih Professor George Leckie and in particular in the development of the MLwiN and StatJR packages. I have also developed the software package MLPowSim for performing power calculations for multilevel models.
My methodological work has been with regard MCMC methods for fitting these multilevel models and also for tailoring MCMC algorithms for specific other models.
With regard applications I have worked on applying multilevel and other statistical models to problems as diverse as bullying in schools, assessing welfare in chickens, modelling herd breakdowns with TB in cattle, investigating nesting behaviour of great tits and the impact of class sizes on primary school children. Much of this work is in collaboration with discipline experts and I firmly believe that statistics and in particular statistical modelling is the glue that binds together interdisciplinary research
My research has been funded by various sources - my major funder has been the ESRC who have repeatedly funded my work over a 13 year period however I have also had my work or collaborative work funded by British Academy, Home Office, BBSRC, EPSRC, NERC, Wellcome, DEFRA, John Oldacre Foundation, RSPCA, DairyCo, UFAW and FAO.
- Multilevel Modelling
- Bayesian Statistics
- Random Effect Modelling
- Applied Statistics
- Computational Statistics
My former ESRC research grants including a node in the Digital Social Research programme, developed the statistical software package STAT-JR and in particular it's eBook interface, facilities for creating statistical training materials and fitting models using small area estimation. More details are available at the multilevel modelling centre website: http://www.bristol.ac.uk/cmm/
Further information about Professor William Browne can be found here.
Structured keywords and research groupings
- Jean Golding
- Cabot Institute City Futures Research
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1/03/18 → 31/07/19
Using Statistical E-books to teach undergraduate students quantitative methods and statistical software
1/04/16 → 1/04/18
The use of interactive electronic-books in the teaching and application of modern, quantitative social science methods
1/10/13 → 30/09/17
A Large-Scale Replication of the Effectiveness of the KiVa Antibullying Program: A Randomized Controlled Trial in the NetherlandsHuitsing, G., Lodder, G. M. A., Browne, W. J., Oldenburg, B., Van der Ploeg, R. & Veenstra, R., 12 May 2020, In: Prevention Science. 21, p. 627–638(2020) 12 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-reviewOpen AccessFile8 Citations (Scopus)49 Downloads (Pure)
Leckie, G., Browne, W., Goldstein, H., Merlo, J. & Austin, P., 1 Dec 2020, In: Psychological Methods. 25, 6, p. 787–801 15 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-reviewOpen AccessFile8 Citations (Scopus)85 Downloads (Pure)
A Bayesian model for measurement and misclassification errors alongside missing data, with an application to higher education participation in AustraliaGoldstein, H., Browne, W. J. & Charlton, C., 4 Apr 2018, In: Journal of Applied Statistics. 45, 5, p. 918-931 14 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-reviewOpen AccessFile7 Citations (Scopus)330 Downloads (Pure)
Data from: State-dependent judgement bias in Drosophila: evidence for evolutionarily primitive affective processes