Professor / Director of Research
Tel: +44 (0) 1223 748652
Professor Simon Thompson is Director of Research in Biostatistics in the Cardiovascular Epidemiology Unit within the Department of Public Health and Primary Care. He is a Fellow of the Academy of Medical Sciences. From 2000-2011 he was Director of the MRC Biostatistics Unit in Cambridge, an internationally acclaimed research institute in medical statistics. He held previous academic appointments at the London School of Hygiene and Tropical Medicine, and as the first Professor of Medical Statistics and Epidemiology at Imperial College London.
His research interests are in meta-analysis and evidence synthesis, clinical trial methodology, health economic evaluation, Mendelian randomisation methods, and cardiovascular epidemiology; he has published widely in these areas. He has collaborated on a number of major clinical trials, recently including all the major UK national trials of screening and treatment for abdominal aortic aneurysms. He has been a strong advocate for biostatistics through his research papers, didactic articles, and contributions to courses and workshops both in the UK and abroad. He has also taken on a number of responsibilities for the MRC, the Royal Statistical Society, and other international professional societies.
Ulug P, Powell JT, Sweeting MJ, Bown MJ, Thompson SG; SWAN collaborative group. Meta-analysis of the current prevalence of screen-detected abdominal aortic aneurysm in women. British Journal of Surgery 2016; 103: 1097–1104. PMID: 27346306
Burgess S, Thompson SG; CRP CHD Genetics Collaboration. Methods for meta-analysis of individual participant data from Mendelian randomisation studies with binary outcomes. Statistical Methods in Medical Research 2016; 25: 272-293. PMID: 22717643
Burgess S, Scott RA, Timpson NJ, Davey-Smith G, Thompson SG; EPIC-InterAct Consortium. Using published data in Mendelian randomization analyses: a blueprint for the efficient identification of causal risk factors. European Journal of Epidemiology 2015; 30: 543-552. PMID: 25773750
Jones E, Sweeting MJ, Sharp SJ, Thompson SG; EPIC-InterAct Consortium. A method making fewer assumptions gave the most reliable estimates of exposure-outcome associations in stratified case-cohort studies. Journal of Clinical Epidemiology 2015; 68: 1397-1405. PMID: 26051242
Thompson SG, Willeit P. Invited commentary: “UK Biobank comes of age”. Lancet 2015; 386: 509-510. PMID: 26049251
IMPROVE trial investigators. Endovascular strategy or open repair for ruptured abdominal aortic aneurysm: one-year outcomes from the IMPROVE randomised trial. European Heart Journal 2015; 36: 2061-2069. PMID: 25855369
Burgess S, Daniel RM, Butterworth AS, Thompson SG. Network Mendelian randomization: using instrumental variables to investigate mediation in causal pathways. International Journal of Epidemiology 2015; 44: 484-495. PMID: 25150977
IMPROVE trial investigators. The effect of aortic morphology on peri-operative mortality of ruptured abdominal aortic aneurysm. European Heart Journal 2015; 36: 1328-1334. PMID: 25627357
Emerging Risk Factors Collaboration. Association of cardiometabolic multimorbidity with mortality. Journal of the American Medical Association 2015; 314: 52-60. PMID: 26151266
Burgess S, Thompson SG. Book: “Mendelian randomization: methods for using genetic variants in causal estimation”. Chapman & Hall, 2015.
Interleukin 1 Genetics Consortium. Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: Mendelian randomisation analysis. Lancet Diabetes & Endocrinology 2015; 3: 243-253. PMID: 25726324
Turner RM, Jackson D, Wei Y, Thompson SG, Higgins JPT. Predictive distributions for between-study heterogeneity and simple methods for their application in Bayesian meta-analysis. Statistics in Medicine 2015: 34: 984-998. PMID: 25475839
Burgess S, Thompson SG. Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects. American Journal of Epidemiology 2015; 181: 251-260. PMID: 25632051