Joie is an Associate Professor in Biostatistics working within the BESTEAM research group (Biostatistics, Evidence Synthesis, Test Evaluation and prediction Modelling). He has worked on numerous methodological and applied research projects and developed widely used statistical methodologies and software tools to implement these in practice. He is dedicated to improving patient outcomes through rigorous biostatistical research and education.
Joie has extensive expertise in prediction modelling and evidence synthesis and has held previous positions at the University of Birmingham and the Centre for Prognosis Research at Keele University. His work focuses on the interface between statistical methodology, practical application, and education – each pillar reinforcing and informing the others.
Dr. Ensor has broad experience in prognostic and diagnostic research. His earlier work focussed on the development of methodology for the initial phases of the CPM workflow and in reporting of CPM research. His recent research is particularly focused on the implementation of prediction models and their impact on behaviour change and patient outcomes.
As developer and maintainer of the widely used 'pm-suite' software packages for prediction modelling (https://github.com/JoieEnsor), he has substantial technical expertise in statistical programming, simulation methods, and computational approaches to solving complex statistical problems. He believes that research methodology should be easy to implement in practice, for example through user-friendly software implementations and tutorials.