Aicha Goubar is a Research Fellow in medical statistics in the Department of Population Health Sciences at the School of Population Health & Environmental Sciences at King's College London. She obtained her PhD at the university of Marie Curie (France) and is a qualified biostatistician with experiences from France and the UK.

Her research interests include, and not limited to, prognostic and predictive statistical modelling using real-world data records and multi-parameter evidence synthesis research methods. She is currently leading on Diabetes projects on the validation of standard risk prediction equations and involved in research projects aiming at studying trajectories patterns and variability of some markers in relation to outcome, including diabetic kidney and retinopathy, in people with Diabetes. Large cohorts of Electronic Health Records (EHRs) from primary and secondary care are in use for these projects.

Before joining the unit for medical statistics, Aicha was working with the rehabilitation & Health Research group at King’s and led the quantitative analyses parts of research funded by UKRI, NIHR and Chartered Society of Physiotherapy Charitable Trust. All projects aiming to inform shared decision making, quality improvement initiatives, and a future trial to improve the clinical- and cost- effectiveness of rehabilitation after hip fracture. Most recently she developed the ‘Stratify-Hip’ algorithm which is now being used to inform a stratified approach to rehabilitation within the UK’s National Health Service.

Research interests:

• Competing risk frameworks in observational data
• Causal inference methodology and Causal Mediation Analysis in observational data
• Multiple comorbidities management and outcomes of care
• Bayesian approaches and Monte Carlo simulations methods