David’s current research interests focus on indirect treatment comparisons and early health technology assessment (HTA) modelling.
He specialises in the application and development of methodologies for indirect treatment comparisons of treatments not directly compared in clinical trials. David has taught training courses and published numerous academic papers in this field. Furthermore, he leads SHTAC’s evaluation of meta-analysis and indirect treatment comparison components of company submissions to NICE as part of the TAR programme.
David’s work in early health technology assessment focuses on medical devices and digital technologies (MedTech). He is currently supporting several academic and industry partners in their paths to reimbursement. David enjoys collaborating with multidisciplinary teams to develop research proposals. He has built decision-analytic models to evaluate cost-effectiveness and conducted value of information (VOI) analyses to inform future research priorities.
His research interests are in biomedical signal processing with applications in neurophysiology and cardio-vascular and cerebro-vascular control. Specific topics are:
Blood flow control in the brain (how does the brain regulate is own blood supply and how to detect impairment of this function).
Auditory evoked potentials (methods to detect the small electrical responses of the brain to auditory stimulation for the assessment of various hearing disorders).
