Research Associate and PhD Student Division of Health Sciences at Warwick Medical School.
PhD funded by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) West Midlands.
Cancer screening programmes, risk prediction models (including machine learning models), diagnostic accuracy, electronic health records and The Health Improvement Network (THIN).
PhD Project: Optimising the FIT: Risk adjusted Colorectal Cancer Screening using Routine Data
The focus of the PhD project is risk prediction modelling and screening test performance for colorectal cancer screening using routine data including the Bowel Cancer Screening System (BCSS) Database and THIN (The Health Improvement Network) for GP records.
The screening test is combined with other predictors to determine whether model performance and subsequently test performance is improved. Standard statistical methodology is used to develop a risk prediction model for use in colorectal cancer screening referral decisions as well as a comparison with machine learning approaches in the form of neural networks.
The THIN database is used to define a screening cohort by utilising the electronic Bowel Cancer Screening Programme (BCSP) notifications and to investigate risk-adjusted models with richer data including lab test results and symptoms.
Part of the PhD involved an NIHR Doctoral Exchange award at Birmingham University to train and undertake research using THIN (anonymised GP database).
I am currently working in health screening research including a project under Dr. Sian Taylor-Phillips where we are extracting breast cancer screening data and combining with cancer registry data in an observational cohort to look at patient outcomes related to two changes to breast screening over time (change in recall threshold and from one to two readers).
I have previously at Warwick Clinical Trials Unit on head and neck cancer project titled 'PETNECK'. This project was a multicentre randomised phase III trial comparing PET-CT guided watch and wait policy versus planned neck dissection for the management of locally advanced (N2/N3) nodal metastases in patients with head and neck squamous cancer.
Cooper, J. A., et al. (2016). "FIT for the future: a case for risk-based colorectal cancer screening using the faecal immunochemical test." Colorectal Dis 18(7): 650-653.
Cooper, J. A., et al. (2018). "Risk-adjusted colorectal cancer screening using the FIT and routine screening data: development of a risk prediction model." Br J Cancer 118(2): 285-293.
Cooper, J. A., et al. (2017). Risk-adjusted colorectal cancer screening using the FIT: development of a risk prediction model [abstract]. In: Methods for Evaluating Medical Tests and Biomarkers: Birmingham, UK. 19–20 July 2016. Diagnostic and Prognostic Research 2016, 1(Suppl 1):P1.
Seedat F., et al. (2014). “International comparisons of screening policy-making: A systematic review.” National Screening Committee.
Tsertsvadze, A., et al. (2016). "Community-onset sepsis and its public health burden: a systematic review." Syst Rev 5: 81.
Taylor-Phillips, S., et al. (in progress). “Effect of Computer-Aided Detection Prompts on Breast Screening Performance.”