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Mark Lunt is a Reader in Medical Statistics at the University of Manchester's Arthritis Research UK Epidemiology Unit. He completed his B.Sc. in Mathematics at Warwick University in 1985 and later earned a PGCE in 1987. His teaching career began as a secondary school mathematics teacher in Liverpool, interrupted by the civil war in Liberia, during which he worked with Médecins Sans Frontières. Lunt's research primarily focuses on the estimation of treatment effects in observational studies, where patients receive treatments for clinical reasons rather than through randomized clinical trials. His methodologies often involve the use of propensity scores to compare outcomes between treated and untreated subjects, allowing for unbiased effect estimation. He also teaches a course on Statistical Modelling with Stata aimed at in-service training for researchers in the unit. His work has significant implications for public health, contributing to methodologies that assess and improve health outcomes in various populations, particularly in rheumatology through innovative statistical methods and addressing confounding variables in study designs.
University of Manchester • Manchester, ENG, United Kingdom
Leading research in medical statistics focusing on treatment effects and confounding variables.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.