Thesis
Harnessing the potential of big data to investigate outcomes following childhood surgery
- Abstract:
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Background: Globally, it is estimated that 6% of children are born with a congenital anomaly, many of which require surgical treatment. Despite this, determining short-term and long-term outcomes following childhood surgery remains challenging.
Aim: The overall aim of this thesis is to investigate whether it is possible to harness the potential of big data to develop a better understanding of outcomes following childhood surgery, and the factors that i... Expand abstract
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- Files:
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(Preview, Dissemination version, pdf, 17.9MB, Terms of use)
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Authors
Contributors
+ Allin, B
- Institution:
- University of Oxford
- Division:
- MSD
- Department:
- Women's & Reproductive Health
- Sub department:
- NPEU
- Role:
- Supervisor
- ORCID:
- 0000-0002-0575-2733
+ Roehr, C
- Institution:
- University of Oxford
- Division:
- MSD
- Department:
- Nuffield Department of Population Health
- Role:
- Supervisor
- ORCID:
- 0000-0001-7965-4637
+ Opondo, C
- Institution:
- University of Oxford
- Division:
- MSD
- Department:
- Nuffield Department of Population Health
- Role:
- Supervisor
+ Battersby, C
- Role:
- Supervisor
+ Knight, M
- Institution:
- University of Oxford
- Division:
- MSD
- Department:
- Women's & Reproductive Health
- Sub department:
- NPEU
- Role:
- Supervisor
- ORCID:
- 0000-0002-1984-4575
+ University of Oxford
More from this funder
- Funder identifier:
- https://ror.org/052gg0110
- Programme:
- Nuffield Department of Population Health Scholarship
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
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English
- Keywords:
- Subjects:
- Deposit date:
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2026-04-02
- ARK identifier:
Terms of use
- Copyright holder:
- Sunjuri Sun
- Copyright date:
- 2024
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