Dr. Bernadette Dondo

Bernadette has wide-ranging expertise in analytical techniques such as univariate tests, statistical modelling, multilevel modelling, flexible parametric survival modelling, mediation analysis, instrumental variable analysis, propensity scoring, multiple imputations, structural equation modelling, longitudinal data and latent class analysis.

Bernadette joined the University of Leeds in 2013 doing a masters in Epidemiology and Biostatistics. On completion she joined the Cardiovascular Epidemiology group working as a research assistant in 2014, alongside which she completed a PhD in Cardiovascular Epidemiology and Biostatistics. In 2018 Bernadette was promoted to Postdoctoral Medical Statistician. Currently, she is working as a Senior Research Statistician/Epidemiologist as part of the Child Health Outcomes Research at Leeds team.

Bernadette’s research interests are in the use of population-based data with advanced statistical methodologies to conduct high impact research that is able to improve patients’ care and outcomes, working in collaboration with clinicians, life scientists and other health professionals. Datasets she has used include: Myocardial Infarction National Audit Project registry (~n= 900,000 participants), UK Women’s cohort study (n=32,000 participants) and linked Evaluation of the Methods and Management of Acute Coronary Events (~ n=10,000 participants)-Hospital Episodes Statistics. She has been involved in teaching undergraduate, postgraduate medical and allied healthcare professional (Radiographers, Audiology, Cardiac Physiology students) students at the University of Leeds.

Link to full list of publications: https://scholar.google.com/citations?user=7stP9_IAAAAJ&hl=en&oi=ao