معرفی
Jim Lewsey is a Professor of Medical Statistics at the University of Glasgow, affiliated with the School of Health and Wellbeing and the Health Economics & Health Technology Assessment (HEHTA) research group. He specializes in advanced statistical methodologies, including interrupted time series analysis, survival analysis, and causal inference techniques. His research focuses on evaluating public health interventions, alcohol policy, and decision analytic modeling for healthcare resource allocation. Prof. Lewsey serves on key committees such as the NIHR Public Health Research Programme Committee and previously the Chief Scientist Office Health Improvement Committee. He leads the Analysis of Linked Health Data (ALDA) program and co-leads the SHW Data Science research theme, emphasizing cutting-edge methods like synthetic controls and instrumental variable analysis.
His work spans epidemiological studies on cardiovascular outcomes, diabetes treatments, and health inequalities, with a strong emphasis on translating statistical rigor into actionable public health strategies. Notable contributions include studies on the impact of alcohol minimum unit pricing, socioeconomic determinants of health, and the evaluation of natural experiments in policy contexts. Prof. Lewsey’s expertise in health economics and technology assessment informs evidence-based policy decisions, particularly in Scotland and the UK.
Key achievements include his Chartered Statistician status (awarded and revalidated by the Royal Statistical Society) and contributions to over 185 publications. His research often addresses complex real-world challenges, such as optimizing healthcare resource allocation and reducing disparities in access to treatments. Current projects include evaluating policy impacts on alcohol-related harm and advancing methodologies for analyzing linked health datasets.
