University of Oxford
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6 days ago
PhD in Evaluating the Transportability of Clinical Prediction Models Across Healthcare Settings University of Oxford in United Kingdom
Degree Level
PhD
Field of study
Epidemiology
Funding
Competition funded PhD project for students worldwide. Limited financial support is available from the department for conference attendance.
Deadline
Dec 1, 2026
Country
United Kingdom
University
University of Oxford

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About this position
PhD opportunity at the University of Oxford (Botnar Research Centre / NDORMS / Centre for Statistics in Medicine) on clinical prediction models, external validation, transportability, reproducibility, medical statistics, epidemiology, and prediction model updating.
The project asks when a prediction model can be transferred across healthcare settings without losing performance, and how differences in patient case mix, clinical setting, or time period affect discrimination and calibration. The work will include systematic review methods, methodological development, and real-world examples, including rheumatology.
Supervision is by Associate Professor Paula Dhiman (primary supervisor), Associate Professor Laura Coates, and Professor Gary Collins. The project connects Oxford with the University of Birmingham through BESTEAM and offers training in medical statistics, simulation studies, prediction model research, and clinical data management.
This is a competition funded PhD project for students worldwide. The post notes limited departmental support for conference travel. Applicants should have, or expect to obtain, a first or upper second-class BSc degree or equivalent in a relevant subject and provide evidence of English language competence where applicable.
To apply, contact the supervisors to express interest, then submit an official application to the DPhil in Clinical Epidemiology and Medical Statistics (course code RD_NNRA1). Applications open mid-September and the deadline is 2026-12-01. The DPhil is due to commence in October 2027.
Funding details
Competition funded PhD project for students worldwide. Limited financial support is available from the department for conference attendance.
What's required
Applicants should have, or expect to obtain, a first or upper second-class BSc degree or equivalent in a relevant subject. Evidence of English language competence is required where applicable. Interest in medical statistics, prediction model research, simulation studies, and clinical data management is relevant.
How to apply
Contact the relevant supervisor(s) to register your interest and check essential requirements. Then submit an official application to the DPhil in Clinical Epidemiology and Medical Statistics using course code RD_NNRA1 via Oxford graduate admissions.
More information can be found here
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