R. Dobson

First name
Last name
Jacobs, B. M., Tank, P., Bestwick, J. P., Noyce, A. J., Marshall, C. R., Mathur, R., et al. (2023). Modifiable risk factors for multiple sclerosis have consistent directions of effect across diverse ethnic backgrounds: a nested case-control study in an English population-based cohort. J Neurol. http://doi.org/10.1007/s00415-023-11971-0
Shah, A. D., Bailey, E., Williams, T., Denaxas, S., Dobson, R., & Hemingway, H. (2019). Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death. J Biomed Semantics. http://doi.org/10.1186/s13326-019-0214-4
Papez, V., Moinat, M., Payralbe, S., Asselbergs, F. W., Lumbers, R. T., Hemingway, H., et al. (2021). Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure. JAMIA Open. http://doi.org/10.1093/jamiaopen/ooab001
Katsoulis, M., Lai, A. G., Diaz-Ordaz, K., Gomes, M., Pasea, L., Banerjee, A., et al. (2021). Identifying adults at high-risk for change in weight and BMI in England: a longitudinal, large-scale, population-based cohort study using electronic health records. Lancet Diabetes Endocrinol. http://doi.org/10.1016/s2213-8587(21)00207-2