Email Address: firstname.lastname@example.org
Other Research Theme Collaborations: ESH
James began his research career at BSU in 2006 as a PhD student, looking at multi-locus methods for genome-wide association studies, supervised by Dr Frank Dudbridge. James has since progressed on to being a Research Statistician in 2009 and then a Senior Investigator Scientist in 2012, working on clinical trials methodology within the Design and Analysis of Randomised Trials research theme at BSU. James was appointed as a Programme Leader Track in November 2015.
BSU Research overview
James’ research focuses are on statistical methods for next-generation clinical trials. This includes several areas of work that address the need for efficient clinical trials, both in academia and in the pharmaceutical industry.
Selected PapersWason J (2015)OptGS – An R package for finding near-optimal group-sequential designs.
Journal of Statistical Software 66: 2
Wason J, Abraham J, Baird R, Gournaris J, Vallier A, Brenton J, Earl H, Mander A. (2015)A Bayesian adaptive design for biomarker trials with linked treatments
British Journal of Cancer 113: 699-705
Wason, J. & Trippa, L. (2014)A comparison of Bayesian adaptive randomization and multi-stage designs for multi-arm clinical trials.
Statistics in Medicine 33: 2206-2221
Wason, J., Magirr, D., Law, M. & Jaki, T. ()Some recommendations for multi-arm multi-stage trials.
Statistical Methods in Medical Research : (ePub)
Wason, J. & Seaman, S. (2013)Using continuous data on tumour measurements to increase power in phase II cancer studies when there is dropout due to death and toxicity.
Statistics in Medicine 32: 4639-4650
Wason, J., Jaki, T. & Stallard, N. (2013)Planning multi-arm screening trials within the context of a drug-development programme.
Statistics in Medicine 32: 3424-3435
Wason, J. & Jaki, T. (2012)Optimal design of multi-arm multi-stage trials.
Statistics in Medicine 31: 4269-4279