Conference item : Abstract

A dynamic prediction model for early detection of colorectal cancer using routine blood test results from primary care

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Virdee, P. S., Birks, J., & Holt, T. (2021). A dynamic prediction model for early detection of colorectal cancer using routine blood test results from primary care. NCRI Festival 2021.

MLA Style

Virdee, PS, et al. “A Dynamic Prediction Model for Early Detection of Colorectal Cancer Using Routine Blood Test Results from Primary Care.” NCRI Festival 2021, 2021.

Chicago Style

Virdee, PS, J Birks, and T Holt. 2021. “A Dynamic Prediction Model for Early Detection of Colorectal Cancer Using Routine Blood Test Results from Primary Care.” In NCRI Festival 2021. National Cancer Research Institute.
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Publication website:: https://abstracts.ncri.org.uk/abstract/a-dynamic-prediction-model-for-early-detection-of-colorectal-cancer-using-routine-blood-test-results-from-primary-care/

Authors

+ Virdee, PS More by this author

Institution:: University of Oxford
Division:: MSD
Department:: NDORMS
Sub department:: Botnar Research Centre
Role:: Author
ORCID:: 0000-0002-3006-8730

+ Birks, J More by this author

Institution:: University of Oxford
Division:: MSD
Department:: NDORMS
Sub department:: Centre for Statistics in Medicine
Role:: Author
ORCID:: 0000-0002-8310-9911

+ Holt, T More by this author

Institution:: University of Oxford
Division:: MSD
Department:: Primary Care Health Sciences
Role:: Author
ORCID:: 0000-0002-1214-1682

Publisher:: National Cancer Research Institute
Host title:: Abstracts from the NCRI Cancer Conference, 2021
Publication date:: 2021-11-08
Acceptance date:: 2021-06-25
Event title:: NCRI Festival 2021
Event location:: Virtual event
Event website:: https://conference.ncri.org.uk/ncri-festival
Event start date:: 2021-11-08
Event end date:: 2021-11-12

Language:: English
Keywords:: FFR
Subtype:: Abstract
Pubs id:: 1183448
Local pid:: pubs:1183448
Deposit date:: 2021-06-25
ARK identifier:: ark:/29072/ora_de808dee7f5841abbd9b98bd35bff1ab

Terms of use

Copyright holder:: Virdee et al.
Copyright date:: 2021

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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