Professor of Statistics and Epidemiology
- James Martin Fellow
Working in the Professorial Advisory Unit of The George Institute for Global Health, Mark is Professor of Statistics and Epidemiology at the University of Oxford, Professor of Medical Statistics at the University of New South Wales in Sydney, and Adjunct Professor of Epidemiology at Johns Hopkins University. He is a Fellow of the Academy of Medical Sciences.
He is the author of 600+ peer-reviewed publications and two text-books on statistical methods in medical research, one of which had its third edition published in January 2014. He was named by Thomson Reuters/Clarivate Analytics as one of ‘The World’s Most Influential Scientific Minds’ in each of the last 5 years. Three of his papers have over a thousand citations.
Mark has led four major international studies and directed the analytical research on three landmark collaborative studies, worldwide. His work on cardiovascular risk scores formed the basis of national guidelines in Scotland, and his recent work on kidney disease was used to produce new staging criteria for this disease. His total career grant awards total to over $100 million from 50 successful applications.
He also has extensive experience in student teaching, postgraduate supervision and mentoring including 14 PhD and 19 MSc students successfully completed. He has given training workshops in Korea and Thailand, and has taught at least 25 other research training courses.
Mark served on the governing council of the Institute of Statisticians and the Royal Statistical Society (RSS) and is a fellow of the RSS, the European Society of Cardiology, the New York Academy of Medicine and the Royal Society of Medicine.
He has wide experience of development aid work in Africa and Asia, having undertaken 25 missions for aid agencies, such as the WHO. He has also assessed grants for six national medical research councils (including NHMRC) and served on the editorial boards of seven international journals.
Selvin E. et al, (2019), Diabetes, obesity & metabolism
Anderson CS. et al, (2018), Int J Stroke
OPTIMAL ANALYSIS OF THE MODIFIED RANKIN SCALE (MRS)
Pilard Q. et al, (2018), INTERNATIONAL JOURNAL OF STROKE, 13, 30 - 30
Home monitoring with IT-supported specialist management versus home monitoring alone in patients with heart failure: design and baseline results of the SUPPORT-HF 2 randomized trial
RAHIMI K. et al, (2018), American Heart Journal
RELATIVE CONTRIBUTIONS TO MAJOR DIALYSIS RANDOMISED CONTROLLED TRIALS FROM TEN GLOBAL REGIONS
Haber A. et al, (2018), NEPHROLOGY, 23, 29 - 29