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Doctor of Philosophy (University of Glasgow), BSc (Hons) (University of Queensland), Bachelor of Science (University of Queensland)
Background: Dr. Helen Thompson holds a PhD in Statistics from the University of Glasgow (2008). Her PhD thesis on optimal experimental design was supervised by Dr. Ben Torsney. She was previously awarded a BSc (Hons) - Class I in Mathematics from the University of Queensland (2001). Her honours research on multiple imputation was supervised by Prof. Annette Dobson. Helen also holds a BSc in Statistics from the University of Queensland (2000). Helen has held an academic position in the School of Mathematical Sciences since 2007. Prior to this she held a position as Teaching Assistant at the University of Glasgow during the course of her PhD, was a Research Officer at the Australian Bureau of Statistics after completing a Cadetship during her BSc (Hons), and briefly worked as a Research Officer for Brisbane Water during her BSc. Research discipline: Mathematical Sciences Areas of expertise:- Optimal design of experiments
- Clinical trial design
- Bayesian design
- Spatial modelling and sampling
- Copula modelling
- Stochastic frontier modelling
- Appled statistics
Projects
Additional information
Teaching: Helen also has considerable teaching experince in Mathematics and Statistics with other academic institutions in her capacity as Teaching Assistant at the University of Glasgow (2003-2007) and Tutor at the University of Queensland (1999-2001). Consulting: Some organisations that Helen has provided statistical consultancy for include:
- Queensland Academy of Sport
- Powerlink
- Integrated Open Space Services
- The Developing Foundation (QUT ATN IDTC)
- Princess Alexandra Hospital
- BHP Billiton, The Quantitative Group (CRC ORE)
- Roche Pharmaceuticals (ARC Linkage)
- Gnai Nishani Musafer, PhD (Statistics), "Non-Linear Univariate and Multivariate Spatial Modelling and Optimal Design" (Principal Supervisor), Data Scientist at Dingo Software.
- Darsy Darssan, PhD (Statistics), "Novel Sequential Methods in Dose-Finding Designs: Extension of the Continual Reassessment Method" (Associate Supervisor), Postdoctoral Research Fellow at the University of Liverpool.
- Elizabeth Ryan, PhD (Statistics), "Contributions to Bayesian Experimental Design" (Associate Supervisor), Statistician at King's College London.
- Adebayo Aderounmu, PhD (Statistics), "Copula-Based Dependence Modelling of Price Spikes and Contagion-Like Effects in Australian Electricity Markets" (Associate Supervisor), Postdoctoral Research Fellow at University of Western Ontario.
- Zhengling Xiong, MPhil (Statistics), "Relationship Between Temperature Derivvtives and Electricity Futures" (Associate Supervisor), PhD student at UQ.
- Earl Duncan, BAppSc (Hons) (Statistics), "Optimal Designs for Non-Linear Models with Application to Dose-Finding in Phase I Clinical Trials", PhD student at QUT.
- Musafer, G. & Thompson, H. (2017). Non-linear optimal multivariate spatial design using spatial vine copulas. Stochastic Environmental Research and Risk Assessment, 31(2), 551–570. https://eprints.qut.edu.au/98746
- Musafer, G., Thompson, H., Kozan, E. & Wolff, R. (2017). Spatial pair-copula modeling of grade in ore bodies: a case study. Natural Resources Research, 26(2), 223–236. https://eprints.qut.edu.au/101385
- Blackler, A., Gomez, R., Popovic, V. & Thompson, H. (2016). Life is too short to RTFM: How users relate to documentation and excess features in consumer products. Interacting with Computers, 28(1), 27–46. https://eprints.qut.edu.au/80826
- Musafer, G. & Thompson, H. (2016). Optimal adaptive sequential spatial sampling of soil using pair-copulas. Geoderma, 271, 124–133. https://eprints.qut.edu.au/93348
- Thompson, H., Blackler, A., Kraal, B., Swann, L. & Popovic, V. (2015). Relationships between user experience and intuitiveness of visual and physical interactions. Proceedings of the 6th IASDR (The International Association of Societies of Design Research Congress, 1900–1916. https://eprints.qut.edu.au/89398
- Darssan, D., Thompson, H. & Pettitt, T. (2014). Incorporating adverse event relatedness into dose-finding clinical trial designs. Statistics in Medicine, 33(7), 1146–1161. https://eprints.qut.edu.au/70709
- Ryan, E., Drovandi, C., Thompson, H. & Pettitt, T. (2014). Towards Bayesian experimental design for nonlinear models that require a large number of sampling times. Computational Statistics and Data Analysis, 70, 45–60. https://eprints.qut.edu.au/56522
- Musafer, G., Thompson, H., Kozan, E. & Wolff, R. (2013). Copula-based spatial modelling of geometallurgical variables. Proceedings of the Second AusIMM International Geometallurgy Conference 2013, 239–246. https://eprints.qut.edu.au/83720
- McGree, J., Drovandi, C., Thompson, H., Eccleston, J., Duffull, S., Mengersen, K., Pettitt, T. & Goggin, T. (2012). Adaptive Bayesian compound designs for dose finding studies. Journal of Statistical Planning and Inference, 142(6), 1480–1492. https://eprints.qut.edu.au/42382
- Title
- Innovative Bayesian Statistics for Enhanced Decision Making for Pharmaceutical Drug Development
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP0991062
- Start year
- 2010
- Keywords
- Bayesian Adaptive Design; Bayesian Decision Procedures; Design for Dose Escalation; Optimal Design; Simulation Modelling; Bayesian Computation