Mr Christopher Charlton

Summary

Multilevel Modelling; Maintaining and implementing computer software for statistical analysis.

Biography

Chris Charlton joined the Graduate School in 2004.  He is a software engineer working for the Centre for Multilevel Modelling, where he maintains and implements new functionality for the MLwiN software package.

He is currently working with Professor Bill Browne of Bristol University, and computer scientists in the Department of Electronics and Computer Science at the University of Southampton, on the eStat project to produce the next generation of statistical software for Multilevel Modelling.

Chris is a member of the British Computer Society (BCS) and the Institution of Engineering and Technology (IET).

Skills

• British Computer Society Institution of Engineering and Technology (IET).

Memberships

Organisations

Graduate School of Education

Other sites

• Cmm

Recent publications

• Goldstein, H, Leckie, G, Charlton, C, Tilling, K & Browne, W, 2017, ‘Multilevel growth curve models that incorporate a random coefficient model for the level 1 variance function’. Statistical Methods in Medical Research.
• Goldstein, H, Browne, W & Charlton, C, 2017, ‘A Bayesian model for measurement and misclassification errors alongside missing data, with an application to higher education participation in Australia’. Journal of Applied Statistics.
• Michaelides, DT, Parker, RMA, Charlton, CMJ, Browne, WJ & Moreau, L, 2016, ‘Intermediate notation for provenance and workflow reproducibility’. in: Marta Mattoso, Boris Glavic (eds) Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings. Springer Verlag, pp. 83-94
• Steele, FA, Washbrook, E, Charlton, C & Browne, WJ, 2016, ‘A Longitudinal Mixed Logit Model for Estimation of Push and Pull Effects in Residential Location Choice’. Journal of the American Statistical Association, vol 111., pp. 1061-1074
• Zhang, Z, Parker, R, Charlton, C, Leckie, G & Browne, W, 2016, ‘R2MLwiN: A program to run the MLwiN multilevel modelling software from within R’. Journal of Statistical Software, vol 72.
• Leckie, G, Charlton, C & Goldstein, H, 2016, ‘Communicating uncertainty in school value-added’.
• Browne, W, Parker, R, Charlton, C, Michaelides, D & Moreau, L, 2016, ‘Stat-JR LEAF Workflow Guide (1.0.4 Beta Release)’. Centre for Multilevel Modelling, University of Bristol
• Jones, K, Johnston, R, Manley, D, Owen, D & Charlton, C, 2015, ‘Ethnic Residential Segregation: A Multilevel, Multigroup, Multiscale Approach Exemplified by London in 2011’. Demography, vol 52., pp. 1995-2019
• Leckie, G, French, R, Charlton, C & Browne, W, 2014, ‘Modeling heterogeneous variance–Covariance components in two-level models’. Journal of Educational and Behavioral Statistics, vol 39., pp. 307-332
• Browne, WJ, Charlton, CMJ & Leckie, G, 2014, ‘The Stat-JR software package – A new framework for statistical analysis, software interoperability and training through eBooks’. MethodsNews: Newsletter from the ESRC National Centre for Research. MethodsNews: Newsletter from the ESRC National Centre for Research

View complete publications list in the University of Bristol publications system