Dr Oliver Rivero-Arias
- How to deal with missing data in perinatal clinical trials in the presence of non-negligible mortality Research Group
- Conducting economic evaluations of perinatal interventions from a family perspective Research Group
- Mapping algorithms from non-preference to preference-based outcome measures: do they really work in practice? Research Group
Associate Professor in Health Economics
- Senior Health Economist at NPEU
Oliver Rivero-Arias is the Senior Health Economist at the National Perinatal Epidemiology Unit having previously held appointments at the Health Economics Research Centre (HERC), University of Oxford during the period 2002-2013. His main research interest concerns the evaluation of cost-effectiveness methodology and the conduct of applied economic studies in the perinatal and maternal health area. He has been involved in the evaluation of methods to handle missing data in cost-effectiveness analysis, the economic implications of cost-effectiveness analysis alongside multinational clinical trials, the development of algorithms to map available data into quality of life measures, and the valuation of health for decision-making. He is actively involved in teaching and postgraduate supervision, and was an associate editor of BMC Medical Research Methodology during 2011-2015.
Valuation and Modeling of EQ-5D-5L Health States Using a Hybrid Approach.
Ramos-Goñi JM. et al, (2017), Med Care, 55, e51 - e58
A cluster randomised trial of strategies to increase cervical screening uptake at first invitation (STRATEGIC).
Kitchener HC. et al, (2016), Health Technol Assess, 20, 1 - 138
Beyond maternal death: improving the quality of maternal care through national studies of 'near-miss' maternal morbidity
Knight M. et al, (2016)
Preferred reporting items for studies mapping onto preference-based outcome measures: the MAPS statement.
Petrou S. et al, (2016), Qual Life Res, 25, 275 - 281
Lean Participative Process Improvement: Outcomes and Obstacles in Trauma Orthopaedics.
New S. et al, (2016), PLoS One, 11