Mark Simmonds

Research Fellow

Email: mark.simmonds@york.ac.uk
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

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

Systematic review and meta-analysis of the safety and efficacy of recombinant human bone morphogenetic protein-2 (rhBMP-2) in spinal fusion

Selected publications

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

Wald DS, Simmonds MC, Morris JK, Rothwell PM, Wald NJ. Cost-effectiveness of diagnosis of high blood pressure in primary care. Lancet 2012;379(9817):709-10

 

Page last updated: 05 April 2013