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Mae Chester-Jones

MEng, MSc

DPhil Candidate in Clinical Epidemiology and Biostatistics

  • NIHR Doctoral Research Fellow
  • Clarendon Scholar at Brasenose College
  • UKRN Local Network Lead

Medical statistician researching Maternal Early Warning Scores


I am a NIHR Doctoral Research Fellow and DPhil Candidate in Clinical Epidemiology and Biostatistics. My research aims to improve and develop a new Maternal-specific Early Warning Score(MOEWS), a risk assessment tool used to predict the likelihood of a women deteriorating using static physiological markers. Pregnant women become very ill, very quickly and without rapid intervention, the results can be fatal or leave women with long term health problems.We urgently need to know hot to accurately predict when an illness is getting worse in a pregnant women so that we can provide the right care. Current evidence suggests that existing MOEWSs are under-predicted. I will use routinely collected data and investigate how the assessment tool handles missingness at implementation, an unsolved challenge of using a prediction model in practice. 

Before starting my DPhil, I worked for three and a half years as a Medical Statistician for the Oxford Clinical Trials Research Unit (OCTRU)My role as a trial statistician involved providing statistical input on all aspects of clinical research projects including the design, running and analysis of trials. Alongside my trial work, I worked as part of the Pregnancy Physiology Pattern Prediction Study (4P) to develop reference ranges for the vital signs of pregnant women during labour.