IOM has a strong team of qualified statisticians who provide expertise in statistics and mathematical modelling for research projects led from within IOM and by our many external collaborators. The team has a wealth of experience in the evaluation and quantification of occupational and environmental exposures, and of the risks these present to the health of workers and the public. We are involved in all stages of a research study from its inception (e.g. study design, sample size determination, questionnaire design) to the analysis and dissemination of the results.
Areas in which we work include epidemiological studies (e.g. cohort, case-control, and cross-sectional), investigation of exposure measurements, evaluation of intervention studies, surveys of occupational groups, toxicology and literature reviews. The statistics team at IOM has been at the forefront of the development of life-tables for the health impact assessment of air pollution (IOMLIFET). They have also been heavily involved in the risk assessment of engineered nanoparticles, developing models to predict the personal exposure following emission from a source, prediction of the burden of particles within organ systems after exposure, and analysing results from in-vitro toxicity testing of nanoparticles with the aim of linking toxicity to particle characteristics.
We provide statistical expertise to studies outwith IOM and have been employed in legal cases as advisors on individuals’ health risks. Our team are also part of the European Food Safety Agency (EFSA) framework for statistical assistance, within which we offer to provide statistical expertise (analysis and/or advice) to specific EFSA projects. We successfully lead on research funding applications and regularly publish the results of our work in the peer-reviewed literature. Members of our team also serve on government committees and are often invited to present at conferences and events.
The team are proficient in many statistical and mathematical packages including R, Genstat, Minitab, SAS, BMDP, Stata and Matlab.
Our statistical project work is extensive and includes:
MARINA (integrated and intelligent testing, integrated assessment, and modular interconnection of knowledge and information for validated science-based risk management methods)
For more information about statistical services please contact Hilary Cowie.