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Andrew Copas, Reader in Statistics

Andrew joined the Unit in 2006 after previously working elsewhere at UCL from 1994, including several years in the Department of Statistical Science. In 1999 he gained a PhD on missing data and selection bias.

Andrew works in the London Hub for Trials Methodology Research, primarily on statistical methodology relating to the design and analysis of trials. His current major research interest is cluster randomised trials, in particular optimising the design of trials with baseline data and stepped wedge trials. He retains an interest in repeated measurements data and missing data, and is looking to develop work on the implications for design and analysis of trials, with complex interventions of needing multiple primary outcomes to reflect the range of impact of the intervention. He recently collaborated with Dr Rebecca Walwyn (PI) at the University of Leeds, on an NIHR funded project to address the design and analysis of 'open cohort' cluster randomised trials in which individuals may join and leave clusters during the trial.

Andrew is currently the Graduate Tutor (Research) for the Institute for Clinical Trials and Methodology.

Andrew also works within UCL, in the Institute for Global Health, where he is Director of the Centre for Pragmatic Global Health Trials. He is the lead statistician for several ongoing trials in the UK and overseas, many of which are cluster randomised, including parallel group, crossover and stepped wedge designs.

Andrew has published over 200 peer reviewed articles and is associate editor for the journals Statistics in Medicine and Sexually Transmitted Infections.


Selected Publications

Thompson, J. A., Fielding, K., Hargreaves, J., & Copas, A. (2017). The optimal design of stepped wedge trials with equal allocation to sequences and a comparison to other trial designs. Clinical Trials - online first

Kalaycioglu, O., Copas, A., King, M., & Omar, R. Z. (2015). A comparison of multiple-imputation methods for handling missing data in repeated measurements observational studies. Journal of the Royal Statistical Society. Series A: Statistics in Society, 179(3), 683-706.

Stirrup, O. T., Babiker, A. G., Carpenter, J. R., & Copas, A. J. (2015). Fractional Brownian motion and multivariate-t models for longitudinal biomedical data, with application to CD4 counts in HIV-positive patients. Statistics in Medicine, 35(9), 1514-1532

Copas, A. J., Lewis, J. J., Thompson, J. A., Davey, C., Baio, G., & Hargreaves, J. R. (2015). Designing a stepped wedge trial: three main designs, carry-over effects and randomisation approaches. Trials, 16:352

Rutterford, C., Copas, A., & Eldridge, S. (2015). Methods for sample size determination in cluster randomized trials. International Journal of Epidemiology, 44(3), 1051-1067.

Andrew Copas

Research Interests

  • Cluster randomised trials with baseline data
  • Stepped wedge trials
  • Trials with repeated measurements
  • Trials with multiple primary outcomes
  • Trials with missing data

Research Areas