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Head of Statistics & Modelling Group
Ruth is the Head of Statistics and Modelling Group, responsible for the management of the unit’s statistical output, maintaining transparency and presenting results in an impartial and objective manner.
In her time in the DTU she has gained extensive experience in the design, analysis and reporting of phase 2-4 trials with a focus on large scale cardiovascular outcome trials including TECOS, EXSCEL and ACE. Outside of trial work, the group use data from both randomized controlled trials and observational studies to evaluate diabetes-related complications and mortality, and produce validated prediction models to contribute to the improvement of outcomes in people with diabetes.
Her ongoing projects include the expansion of the UKPDS Risk Engine to include estimates of both cardiovascular and microvascular disease risk, and modelling life expectancy in type 2 diabetes.
She is currently a co-investigator on the UKPDS Legacy Study and the statistical lead for the ACE trial.
Assessment of Cardiac Energy Metabolism, Function, and Physiology in Patients With Heart Failure Taking Empagliflozin: The Randomized, Controlled EMPA-VISION Trial.
Hundertmark MJ. et al, (2023), Circulation
11β-HSD1 inhibition in men mitigates prednisolone-induced adverse effects in a proof-of-concept randomised double-blind placebo-controlled trial.
Othonos N. et al, (2023), Nat Commun, 14
Joint longitudinal and time-to-event modeling compared with standard Cox modeling in patients with type 2 diabetes with and without established cardiovascular disease: an analysis of the EXSCEL trial.
Oulhaj A. et al, (2023), Diabetes Obes Metab
Risk prediction models for incident type 2 diabetes in Chinese people with intermediate hyperglycemia: a systematic literature review and external validation study.
Xu S. et al, (2022), Cardiovasc Diabetol, 21
Effect of Fenofibrate Therapy on Laser Treatment for Diabetic Retinopathy: A Meta-Analysis of Randomized Controlled Trials.
Preiss D. et al, (2022), Diabetes Care, 45, e1 - e2