معرفی
Mia Holley is a Lecturer in Medical Statistics at the School of Medicine, University of Sunderland. She previously held teaching positions at Durham University and the University of Sunderland, delivering statistics and mathematics modules from foundation to master's level. She earned her PhD in Medical Statistics from the University of Sunderland, supervised by Professor Scott Wilkes, and funded by the National Institute for Health and Care Research (NIHR) Applied Research Collaboration North East and North Cumbria.
- PhD in Medical Statistics (University of Sunderland)
- MSc in Mathematical Biology (University of York)
- BSc in Mathematics (University of York)
Her research focuses on applying causal inference methods (e.g., propensity score matching, inverse probability weighting) to observational data through emulated target trials and cohort studies. She collaborates with Newcastle University and the University of Edinburgh on projects evaluating levothyroxine prescribing in elderly populations and modeling emergency department wait times in Scotland. Her work emphasizes methodological consistency across study designs.
Recent publications analyze cardiovascular and bone health outcomes in subclinical hypothyroidism patients, published in journals like The Journal of Clinical Endocrinology & Metabolism and Systematic Reviews. These studies highlight her expertise in aging population health and endocrine-related statistical modeling.
- Fellow of the Royal Statistical Society
- Member of the International Society for Computational Biology
- Academic Member of the Society for Academic Primary Care
- Associate Member of the Institute of Mathematics and its Applications
She teaches medical statistics and public health on the MBChB Medicine course and is an Associate Fellow of the Higher Education Academy. Her methodological work spans statistical approaches for health data, with a focus on thyroid hormone therapy impacts and healthcare service optimization.
