Dr Paul Clarke
Telephone: 0117 33 10765
E-mail: Paul.Clarke 'at' bristol.ac.uk
CMPO Working Papers
Paul is a senior lecturer in social statistics whose research interests are in the development and application of statistical methods. He has previously held research posts at the University of Southampton, UCL and Imperial College London, and has worked on incomplete-data modelling, the causal analysis of observational studies, infectious-disease modelling, and applications in social epidemiology. Paul was also an associate editor for Journal of the Royal Statistical Society (Series A) from 2008-2011. His recent work on the identification and estimation of causal effects using instrumental variables with Frank Windmeijer was carried out under the methodological strand of the IFSSOCA ESRC Large Grant.
Paul currently collaborates with colleagues from the Centre for Multilevel Modelling on the LEMMA 3 node of the ESRC National Centre for Research Methods, and on the Interrelationships between Housing Transitions and Fertility project. He is also a statistical adviser for the REFRAMED trial based at University of Southampton.
Advanced Quantitative Methods PhD Pathway
Paul is co-ordinator of the Advanced Quantitative Methods pathway in the South West Doctoral Training Centre at Bristol. The AQM pathway provides +3 PhD supervision and training for projects in the area of social statistics (broadly defined). If you are interested in applying for a place on the AQM pathway, then please take a look here and contact him directly to discuss.
UK Causal Inference Meeting: Causal Inference in Health and Social Sciences
Paul is on the steering committee of the UK Causal Inference Meeting (UK-CIM). The inaugural meeting is at the University of Manchester, 13-14 May 2013, where the keynote speaker will be Prof Stijn Vansteelandt (Ghent University). The focus of UK-CIM is on methodology and challenging applications, but submissions relating to interesting applications that highlight necessary methodological extensions are also encouraged.
- Clarke, P.S., Windmeijer, F., Instrumental variable estimators for binary outcomes. Journal of the American Statistical Association 107(500), 1638-1652 (2012).
- Clarke, P.S., Windmeijer, F., Identification of causal effects on binary outcomes using structural mean models. Biostatistics 11(4), 756-770 (2010).
- Chadeau-Hyam, M., Clarke, P.S., et al., An application of Hidden Markov models to the French vCJD epidemic. Applied Statistics 59(5), 839-853 (2010)
- Clarke, P., Will, R.G., Ghani, A.C., Is there the potential for an epidemic of variant Creutzfeld-Jakob disease in the UK? Journal of the Royal Society Interface 4(15), 675-84 (2007).
- Chandola, T., Clarke, P., Morris, J.N., Blane, D., Pathways between education and health: a causal modelling approach. Journal of the Royal Statistical Society Series A 169(2), 337-359 (2006).
- Sacker, A., Clarke, P., Wiggins, R.D., Bartley, M., The social dynamics of health inequalities: a growth curve analysis of self-assessed health in the British Household Panel Study 1991-2000. Journal of Epidemiology and Community Health 59(6), 495-501 (2005).
- Clarke, P.S., Analysing change using two measures taken under different conditions. Statistics in Medicine 24(22), 3401-3415 (2005).
- Clarke, P.S., Causal analysis of individual change using the difference score. Epidemiology 15(4), 414-421 (2004).
- Clarke, P.S., Smith, P.W.F., On maximum likelihood estimation for log-linear models with non-ignorable non-response. Statistics and Probability Letters 73(4), 441-448 (2005).
- Clarke, P.S., Smith, P.W.F., Interval estimation for log-linear models with one variable subject to non-ignorable non-response. Journal of the Royal Statistical Society Series B 66(2), 357-368 (2004).
- Clarke, P., Hardy, R., Methods for handling missing data. In: Pickles, A.R., Maughan, B., Wadsworth, M.E.J. (eds.), Epidemiological Methods in Life Course Research, 157-179. Oxford: Oxford University Press (2007).
- Lynn, P., Clarke, P., Martin, J., Sturgis, P., The effects of extended interviewer efforts on non-response bias. In: Groves, R.M., Dillman, D.A., Eltinge, J.L., Little, R.J.A. (eds.), Survey Nonresponse, 135-148. New York: John Wiley (2002).