Mark Simmonds

Research Fellow

Tel: 01904 321091
Fax: 01904 321041

Mark is a medical statistician with a particular interest in statistical methodology for meta-analysis. His research interests include the meta-analysis of individual patient data, time-to-event data and of medical screening tests. He is also interested in preventive medicine and medical screening for cardiovascular and other diseases.

Mark has a PhD in medical statistics from the University of Cambridge, where he developed statistical methods for individual patient data meta-analysis. Since then he has been engaged in trial design and meta-analysis of pharmaceutical trials and has engaged in statistical research in preventive medicine, including meta-analyses in the prevention of dementia, and investigating the cost-effectiveness of methods of screening for future cardiovascular disease.

Current research projects

Childhood obesity and adult morbidity

Developing and expanding the methodology of individual patient data meta-analysis

Treatment of gestational diabetes in pregnant women

Selected publications

Rodgers MA, Brown JV, Heirs MK, Higgins JP, Mannion RJ, Simmonds MC, Stewart LA. Reporting of industry funded study outcome data: comparison of confidential and published data on the safety and effectiveness of rhBMP-2 for spinal fusion. BMJ 2013;346:f3981

Simmonds M, Brown J, Heirs M, Higgins JPT, Mannion R, Rodgers M, Stewart L. Safety and effectiveness of recombinant human bone morphogenetic protein-2 for spinal fusion: a meta-analysis of individual-participant data. Ann Intern Med 2013;158(12):877-889

Gonzales-Marin C, Spratt DA, Millar MR, Simmonds M, Kempley ST, Allaker RP. Identification of bacteria and potential sources in neonates at risk of infection delivered by Caesarean and vaginal birth. J Med Microbiol 2012;61(Pt 1):31-41

Simmonds MC, Higgins JPT, Stewart L. Random-effects meta-analysis of time-to-event data using the EM algorithm and shrinkage estimators. Res Synth Methods 2012;doi: 10.1002/jrsm.1067

Simmonds MC, Wald NJ. Risk estimation versus screening performance: a comparison of six risk algorithms for cardiovascular disease. J Med Screen 2012; 19(4):201-5

Stewart GB, Altman DG, Askie LM, Duley L, Simmonds MC, Stewart LA. Statistical analysis of individual participant data meta-analyses: a comparison of methods and recommendations for practice. PLoS One 2012;7(10):e46042



Page last updated: 28 November 2013