|Tel||+44 (0)1865 223456|
Specialist in statistical support for oncology clinical trials interested in improving statistics in trials and inspiring the next generation of researchers.
Corran is responsible for providing statistical input into the design, conduct and analysis of clinical trials. Whilst at the CSM, she has been involved in a large number of early and late phase, national and international trials, predominately in the oncology and haematology fields.
She has a keen interest in improving the appropriate use of statistics in trials, and the appropriate reporting of clinical research by the use of guidelines such as CONSORT.
Corran is passionate about engaging younger students with mathematics, and promoting the field of medical statistics as a career choice to undergraduates. She leads CSM’s involvement at the CRUK Oxford Open Days, and has taught on the University of Oxford’s UNIQ summer school programme.
Corran also participates in Trial Steering Committees, Data & Safety Monitoring Committees and Research Ethics Committees. In addition, she collaborates on systematic reviews with the CSM’s methodology team and contributes to a number of academic publications and conference presentations.
In 2016, she received a University of Oxford Award for Excellence.
Before joining the CSM in October 2013, she completed a BSc in Mathematics at the University of Birmingham, followed by an MSc in Biometry at the University of Reading, for which she was awarded a National Institute of Health Research (NIHR) Studentship.
Craddock CF. et al, (2017), Clin Cancer Res, 23, 6430 - 6440
MOLECULAR PREDICTORS OF RESPONSE TO AZACITIDINE THERAPY: THE RESULTS OF THE UK TRIALS ACCELERATION PROGRAMME RAVVA STUDY
Craddock C. et al, (2017), HAEMATOLOGICA, 102, 323 - 323
Association between trial registration and positive study findings: cross sectional study (Epidemiological Study of Randomized Trials-ESORT).
Odutayo A. et al, (2017), BMJ, 356
Hopewell S. et al, (2016), BMC Med, 14
Gupta A. et al, (2016), Br J Cancer, 115, 1193 - 1200