Summary
James Potts is a statistician and data manager at the National Heart and Lung Institute.
James studied Applied Statistics at Sheffield Hallam University, including a one year work placement with the pharmaceutical company SmithKline Beecham. After graduating in 1995 he worked for two years at the Department of Health in London, collating statistics on hospital admissions for mental illness.
In 1997 he moved to the Department of Public Health Sciences at King’s College to initially work on data management and analysis of the European Community Respiratory Health Survey. Subsequently he was involved in the data management and analysis of many other studies in the respiratory epidemiology field and also assisted in the teaching of medical statistics to under graduate students.
In 2006 he transferred with the Respiratory Epidemiology and Public Health research group to Imperial College where he continued managing and analysing data from many different international studies investigating the epidemiology of asthma, allergy and COPD. These projects include:
- The Ageing Lungs in European Cohorts (ALEC) Study
- The BOLD Study of chronic obstructive pulmonary disease
- The Ga2len Studies of and asthma and chronic sinusitis.
- The Europrevall Study of food allergy.
He now works across the population health and occupational disease research groups, giving statistical and data management support and also teaching statistics.
Teaching activities include:
- Deputy module lead for statistics on the BSc. Medical Biosciences
- Joint lead of the Introduction to Medical Statistics Course
- Contributing to teaching statistics on BSc. and MSc. courses across the NHLI
Publications
Journals
Feary J, Quintero Santofimio V, Potts J, et al., 2023, Occupational exposures and small airways obstruction in the UK Biobank Cohort, Erj Open Research, ISSN:2312-0541
Knox-Brown B, Patel J, Potts J, et al., 2023, Prevalence of small airways obstruction and its risk factors in the multinational Burden of Obstructive Lung Disease (BOLD) study, The Lancet Global Health, Vol:11, ISSN:2214-109X, Pages:e69-e82
Elfadaly FG, Adamson A, Patel J, et al., 2021, BIMAM-a tool for imputing variables missing across datasets using a Bayesian imputation and analysis model, International Journal of Epidemiology, Vol:50, ISSN:0300-5771, Pages:1419-1425
Charles D, Gethings LA, Potts JF, et al., 2021, Mass spectrometry-based metabolomics for the discovery of candidate markers of flavonoid and polyphenolic intake in adults, Scientific Reports, Vol:11, ISSN:2045-2322
Lyons SA, Knulst AC, Burney PGJ, et al., 2020, Predictors of Food Sensitization in Children and Adults Across Europe, Journal of Allergy and Clinical Immunology-in Practice, Vol:8, ISSN:2213-2198, Pages:3074-+