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Biography

I joined King’s College London’s Department of Biostatistics and Health Informatics in 2017. Prior to this role Ewan Carr was based in Epidemiology and Public Health Department at University College London. I hold a MSc in Social Research Methods and Statistics and a PhD in Social Statistics from Cathie Marsh Institute for Social Research, University of Manchester. My research interests are in applying novel statistical techniques to longitudinal and routine clinical datasets to better understand heterogeneous treatment effects and to unpick interactions between mental and physical health. Currently, I work on projects related to the Maudsley Biomedical Research Centre (BRC) theme of “Bioinformatics and Statistics”. This involves a wide range of analytical methods, including latent variable techniques (CFA, LCA), multilevel modelling, time series SEM, survival analysis, and more recently, machine learning and topological data analysis. I am a keen user of R and Python, and have many years of experience with Mplus and Stata. I have taught on a wide range of statistical techniques. At present, I lecture on courses in R, ‘Statistical Programming’, ‘Statistical Modelling’, ‘Research methods for multilevel data’ and support delivery of other modules within the department. 

Research Interests: 

  • Mediation and moderation
  • Prediction modelling
  • Latent variable modelling
  • Multilevel modelling

Teaching:

  • Introduction to R (Short course) 
  • Introduction to Statistical Programming (PG Cert) 
  • Introduction to Statistical Modelling