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PhD Student at the Health eResearch Centre exploring clinical prediction modelling using routinely collected health data. 


Rose begun her PhD in September 2018 at the Health e-Research Centre. Her work aims to explore how a patient's patterns of observation in their health record can be incorporated into clinical prediction models. Further work will explore the possibility of developing clinical prediction models that are able to 'request' data from patients who are missing key items that are relevant to their risk prediction.

Prior to commencing her PhD, Rose spent just over two years working with Auckland University of Technology, firstly as a Biostatistical Intern and then as a Research Officer in Biostatistics. There she gained experience in the analysis of randomised controlled trials and longitudinal cohort studies. Prior to this she has also worked for NHS Scotland in a role related to the use of eHealth records in research.

Her current interests lie in developing statistical methods to assist in the effective use of routinely collected health data, particularly related to prediction modelling. 


2010 - 2014: BSc (Hons) Statistics, University of Glasgow

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 16 - Peace, Justice and Strong Institutions

Research Beacons, Institutes and Platforms

  • Christabel Pankhurst Institute


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