Paul Clarke Professor of Social Statistics
- pclarke@essex.ac.uk
- Telephone
- 01206 873760
- Office
- 2N2.4.20
Understanding Society
- Paul works with Michaela Benzeval, Meena Kumari, Cara Booker, Yanchun Bao, Melissa Smart, Pia Chaparro, Apostalos Davillas, Amanda Hughes, and Milagros Ruiz on the ESRC-funded project 'How can biomarkers and genetics improve our understanding of society and health?' using Understanding Society data.
- Paul is a Topic Champion for statistical methods on the study
ESRC Research Centre on Microsocial Change (MiSoC)
- Paul is a co-director of MiSoC
Summary of Research Interests
- Methods for causal analysis
- Statistical modelling of incomplete data
- Methods for longitudinal data analysis
- Survey sampling and design
- Applications of statistical methods in social and health research
Full Publication List
- Paul's publications are listed in his Curriculum vitae (follow the link above)
Publications
-
Sequence analysis of call record data: exploring the role of different cost settings
-
Multilevel structural equation models for longitudinal data where predictors are measured more frequently than outcomes: an application to the effects of stress on the cognitive function of nurses
Fiona Steele, Paul Clarke, George Leckie, et al.
-
Longitudinal modelling with longitudinal households
-
Refractory depression: mechanisms and evaluation of radically open dialectical behaviour therapy (RO-DBT) [REFRAMED]: protocol for randomised trial
T. R. Lynch, B. Whalley, R. J. Hempel, et al.
-
Revisiting fixed- and random-effects models: some considerations for policy-relevant education research
Paul Clarke, Claire Crawford, Fiona Steele, et al.
-
Estimating structural mean models with multiple instrumental variables using the generalised method of moments
-
Investigating non-ignorable dropout in panel studies of residential mobility
-
Modeling household decisions using longitudinal data from household panel surveys, with applications to residential mobility
-
Subject specific and population average models for binary longitudinal data: a tutorial
