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Record Linkage and Bioinformatics

technician in a laboratory.

Module leads

 BSc, MSc, DPhil Naomi Allen - Professor in EpidemiologyNaomi Allen

MA, MBBS, MD, FRCP, FERA Will Herrington - Professor of Trials and Epidemiology of Kidney Disease, Renal Studies GroupWill Herrington

Learning objectives:

  • To appreciate the range of routine healthcare data available for population health research
  • To appreciate the technical aspects of record linkage, data processing, outcome phenotyping and statistical analysis of linked data
  • To be able to incorporate routine healthcare data into the design of large-scale epidemiological studies

Sessions:

  1. Exploiting new technologies for large-scale health research
  2. Record linkage and data processing
  3. Practical issues in the analysis of electronic medical records and other linked data
  4. Generating information on phenotype
  5. The use of routine data for efficient randomised trials
  6. Consolidation

“Oxford has a renowned centre for population health... big studies change how we view population health”.

Peter Ho, MSc Graduate

In this section

"Learning at Oxford, surrounded and taught by world-leading epidemiologists and global health scientists, has been transformative, driving me to think critically and innovatively about population health issues. With this enriched experience, I'm eager to apply my skills to impactful, grassroots, and large-scale health research, aiming to improve the quality and quantity of lives of people in Africa and globally."

Yusuff Adebayo Adebisi, 2022-23

 

“Undertaking this MSc has provided me with a comprehensive grounding in the principles of epidemiology and statistics to complement my clinical medical training. It has been inspiring to learn from leaders in population health and gain insight into the possibilities that lie ahead from the excellent array of masterclass speakers.”

Abinav Mohanamurali, 2022-23

 

“I feel that the course contents aligned completely with what I expected. I have achieved my aim of gaining the statistical and epidemiological skillset I needed to conduct high quality research independently...I would also say that the department is really supportive and student-centric.”

Aaron Ho, 2021-22

 

“One of the best aspects of the course was the diversity of nationalities and experiences in the MSc, which meant that discussions regarding real world examples that classmates had worked on were brought to discussion.”

Emma Taylor-Gallardo, 2021-22 (Read what Emma thought about the course.)

 

“I can say that I truly believe this MSc to be a perfect case study for the importance and strength of international collaboration in epidemiology and global health research.”

Lilian Hartman, 2019-20 (Read Lilian’s experience on the MSc during the COVID-19 pandemic.)