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Dr Stephen ONeill

BA MEconSc PhD

Associate Professor
of Health Economics and Econometrics

Room
Room 143

LSHTM
15-17 Tavistock Place
London
WC1H 9SH
United Kingdom

I completed a degree in Economics at University College Dublin followed by a Masters in Economic Policy (Evaluation and Planning) and PhD in Economics at National University of Ireland Galway (NUIG) and also studied at University of California, San Diego (UCSD) during my doctoral studies. I lectured Economics at NUIG from 2012-2014 and 2016-2020, spending the intervening years as a Research Fellow in Health Economics at LSHTM. I rejoined LSHTM as an Associate Professor of Health Economics/Econometrics in 2020.

Affiliations

Faculty of Public Health and Policy
Department of Health Services Research and Policy

Centres

Centre for Statistical Methodology
Global Health Economics Centre

Teaching

I have taught on the Basic Statistics for Health Policy, Introduction to Health Eocnomics and Economic Evaluation modules at LSTHM. At National University of Ireland Galway, I lectured Health Economics and a range of quantitative courses including Econometrics.

Research

My primary research interests focus on the development and application of econometric methods within health economics, policy evaluation and personalized medicine. I am also interested in economic evaluation, inequality analysis and machine learning. I am leading work packages on the HOD2 (MRC), PERMIT (NIHR), and ESORT (NIHR) studies.

Research Area
Economic evaluation
Health inequalities
Health policy
Health services research
Statistical methods
Critical care
Electronic health records
Evaluation
Inequalities
Methodology
Modelling
Discipline
Health economics
Economics
Policy analysis
Statistics
Disease and Health Conditions
Cancer
Cardiovascular disease
Asthma
Diabetes
Obesity
Country
United Kingdom
Ireland
United States of America
Region
World

Selected Publications

A machine-learning approach to estimating public intentions to become a living kidney donor in England: Evidence from repeated cross-sectional survey data.
Boadu P; McLaughlin L; Al-Haboubi M; Bostock J; Noyes J; O'Neill S; Mays N
2023
Frontiers in public health
Clinical effectiveness and cost-effectiveness of emergency surgery for adult emergency hospital admissions with common acute gastrointestinal conditions: the ESORT study
Grieve R; Hutchings A; Moler Zapata S; O'Neill S; Lugo-Palacios DG; Silverwood R; Cromwell D; Kircheis T; Silver E; Snowdon C
2023
Health and Social Care Delivery Research
Ethnic and socioeconomic disparities in initiation of second-line antidiabetic treatment for people with type 2 diabetes in England: A cross-sectional study.
Bidulka P; Mathur R; Lugo-Palacios DG; O'Neill S; Basu A; Silverwood RJ; Charlton P; Briggs A; Smeeth L; Adler AI
2022
Diabetes, obesity & metabolism
Early evaluation of the Children and Young People's Mental Health Trailblazer programme: a rapid mixed-methods study
Ellins J; Hockings L; Al-Haboubi M; Newbould J; Fenton S-J; Daniel K; Stockwell S; Leach B; Sidhu M; Bousfield J
2022
Local Instrumental Variable Methods to Address Confounding and Heterogeneity when Using Electronic Health Records: An Application to Emergency Surgery.
Moler-Zapata S; Grieve R; Lugo-Palacios D; Hutchings A; Silverwood R; Keele L; Kircheis T; Cromwell D; Smart N; Hinchliffe R
2022
Medical decision making
A Machine-Learning Approach for Estimating Subgroup- and Individual-Level Treatment Effects: An Illustration Using the 65 Trial.
Sadique Z; Grieve R; Diaz-Ordaz K; Mouncey P; Lamontagne F; O'Neill S
2022
Medical decision making : an international journal of the Society for Medical Decision Making
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