The Statistics for Health Economic Evaluation Group, led by Prof Gianluca Baio, is a research group based in the Department of Statistical Science at University College London. Our activity revolves around the development and application of Bayesian statistical methodology for health economic evaluation, e.g. cost-effectiveness or cost-utility analysis. In addition to research articles, we have produced two textbooks (see here and here) and several relevant pieces of software.
We work in close collaboration with academics both within UCL and at other institutions, including rhe MRC Biostatistics Unit Cambridge, the University of Sheffield and the University of Bristol in the UK, as well as the University of Toronto (Canada) and Politecnico di Milano (Italy) among others, internationally. We also collaborate closely with partners in the private sector. We have a long-standing relationship with ICON, a consultancy company working in the area of economic evaluation. Other close collaborators include Parexel and IQVIA. This creates exciting opportunities to develop new methodologies for problems that are relevant to real, practical applications.
We are directly involved in the organisation and management of UCL MSc Programme in Health Economics and Decision Science. We contribute in core teaching as well as in related research activities, thus providing close links with other UCL departments (e.g. the Institute for Global Health, the Priment Clinical Trial Unit and the Department of Economics).
Our activities include a series of seminars aimed at statisticians, health economists and clinicians working in economic evaluations. We also aim at seeking potential areas of commonality with other research groups within the department of Statistical Science and statisticians in general.
Past and current research projects
Katrin Haeussler, Gianluca Baio, Ardo van den Hout, Giampiero Favato, Francesco S Mennini and Alessandro Capone
Zhaojing Che and Gianluca Baio
Workshops, seminars and other events organised by our research group
See current and past opportunities to work and study with us! (Click on the Tagabove the title to list all the items in a given category)
Studentships with starting date in September 2021 The UCL EPSRC Mathematical Sciences DTP Studentships Competition aims to recruit outstanding students to undertake fully-funded PhD studentships at UCL. Applications for studentships starting in the 2021/22 academic session are now open. Closing date: 25-Apr-2021. Funding Studentships provide 4 years’ fees (UK/EU rate) and maintenance stipend (for eligible students) at the UCL EPSRC DTP enhanced rate (£18,609 in 2021/22, rises with inflation each year).
Studentships with starting date between September 2021 and August 2022 The UCL Department of Statistical Science has several Departmentally-funded Teaching Assistantship positions. These can involve any topic within the Statistical Science remit and therefore can include topics in statistical modelling for health economic evaluation, supervised by members of our research team. The Teaching Assistantships will be 3.5 years in duration (or 6 years for part-time students) and cover tuition fees up to the Overseas rate, an annual maintenance stipend (indicative value above) and a small allowance for consumables.
The Engineering and Physical Sciences Research Council (EPSRC) has a collaborative scheme called Industrial Cooperative Awards in Science & Technology (CASE). EPSRC CASE provides funding for PhD studentships where businesses and related organisations take the lead in arranging projects with an academic partner of their choice. CASE studentships are for 4 years and provide a fantastic opportunity for cost-effective collaboration between academic and industrial partners — the overall cost of a PhD studentship is relatively low (in comparison to other major and medium-term projects) and guarantees the engagement of senior academics, as well as researchers at the industrial partner.
A complete list of relevant publications can be found here