Contact
Biography
I obtained a PhD in Biostatistics from the University of Cambridge in 2011, followed by three years working as a postdoctoral researcher at the MRC Biostatistics Unit, Cambridge (2011-2013), and University College London (2013-2014).
I was a Lecturer (2014-2020) and then Associate Professor of Biostatistics (2020-2021) at the Department of Statistical Science, University College London, before joining the University of Nottingham in October 2021.
Teaching Summary
I have taught a range of probability and statistics modules at the University of Nottingham. I have also supervised a number of undergraduate and postgraduate student dissertations on the MMath… read more
Research Summary
My main research interests lie in biostatistics and I work on a range of methodological and collaborative projects. Methodological research focuses on the development of statistical methods for… read more
Recent Publications
O'KEEFFE AG, ADELEKE M, BAIO G, KROMANN NICOLAISEN S and PETERSEN I, 2026. Regression Discontinuity Designs. In: COLBOURN T and HARGREAVES J, eds., Evaluating Public Health Interventions UCL Press. (In Press.)
ADELEKE MO, MARRA G, BAIO G and O'KEEFFE AG, 2026. Thin Plate Regression Splines for Treatment Effect Estimation in a Local Randomisation Regression Discontinuity Design Computational Statistics and Data Analysis. (In Press.)
DASGUPTA D, ELLIOTT CA, O'KEEFFE AG, RODIONOV R, LI K, VAKHARIA VN, MIRZA FA, TAHIR MZ, TISDALL MM, MISEROCCHI A, MCEVOY AW, OURSELIN S, SPARKS RE and DUNCAN JS, 2025. Computer-assisted stereoelectroencephalography planning: center-specific priors enhance planning Frontiers in Neurology. 16,
2023-Present, Member of the UKRI MRC Developmental Pathway Funding Scheme Panel
2023-Present, Member of the UKRI MRC Gap Fund for early-stage development of new healthcare interventions panel
I have taught a range of probability and statistics modules at the University of Nottingham. I have also supervised a number of undergraduate and postgraduate student dissertations on the MMath Mathematics, M.Sc. Statistics and M.Sc. Data Science degree programmes.
Teaching Summary
2024-Present, MATH2108 Methods for Probability and Statistics (Probability)
2022-Present, MATH3026/4022 Time Series Analysis/Time Series and Forecasting
2023-2025, MATH4080 Statistical Modelling of Discrete and Survival Data (Distance Learning)
At University College London, I taught the following modules:
2018-2021, STAT0008 Statistical Inference
2014-2018, STAT7002 Social Statistics
2014-2018, STAT0014 Medical Statistics I
2014-2021, MEDC0046 Statistical Methods in Research
For a number of years, I also contributed to the teaching and learning support on the Practical Statistics for Medical Research (PSMR) short course, held annually at University College London.
Current Research
My main research interests lie in biostatistics and I work on a range of methodological and collaborative projects. Methodological research focuses on the development of statistical methods for modelling complex observational data, including longitudinal data analysis, multi-state and time-to-event modelling, clustered data and quasi-experimental designs for inference. Other work includes novel methods for modelling and risk prediction in liver disease with colleagues from the University of Nottingham School of Medicine.
I undertake a significant amount of collaborative medical research, including longstanding work with colleagues at the UCL Queen Square Institute of Neurology on modelling clinical outcomes in epilepsy. Additional projects include the development and assessment of novel diagnostic methods in primary aldosteronism, with colleagues from University College London Hospitals (UCLH) and the UCL Department of Chemistry.