Professor Thomas Jaki
Professor in StatisticsResearch Interests
- Design and analysis of clinical trials
- Early phase drug development
- Personalized medicine
- Biostatistics
PhD Supervision Interests
Using existing information in multi-arm multi-stage clinical trials Multi-arm clinical trials compare several active treatments to a common control and have been proposed as an efficient means of making an informed decision about which of several treatments should be evaluated further in a confirmatory study. Additional efficiency is gained by incorporating interim analyses that allow the study to be stopped early - either because of overwhelming evidence of benefit or lack thereof. This project will investigate design and analysis of multi-arm multi-stage clinical trials that incorporate existing information (e.g. from previous studies). A Bayesian framework will be use to integrate this information while frequentist properties of the design will be controlled.
Selected Publications
A practical design for a dual-agent dose-escalation trial that incorporates pharmacokinetic data
Cotterill, A., Lorand, D., Wang, J., Jaki, T. 15/06/2015 In: Statistics in Medicine. 34, 13, p. 2138-2164. 27 p.
Journal article
A generalized Dunnett Test for Multi-arm Multi-stage Clinical Studies with Treatment Selection
Magirr, D., Jaki, T., Whitehead, J. 06/2012 In: Biometrika. 99, 2, p. 494-501. 8 p.
Journal article
Simultaneous confidence intervals that are compatible with closed testing in adaptive designs
Magirr, D., Jaki, T., Posch, M., Klingelmueller, F. 5/10/2013 In: Biometrika. 100, 4, p. 985-996. 12 p.
Journal article
An information-theoretic Phase I/II design for molecularly targeted agents that does not require an assumption of monotonicity
Mozgunov, P., Jaki, T.F. 15/06/2018 In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 68, 2, p. 347-367. 21 p.
Journal article
Instrumental variable estimation in semi-parametric additive hazards models
Brueckner, M., Titman, A.C., Jaki, T.F. 1/03/2019 In: Biometrics. 75, 1, p. 110-120. 11 p.
Journal article
All Publications
A practical adaptive designs toolkit
01/01/2019 → 30/09/2020
Research
A self-management Intervention to Support Physical Activity for People with Rare Neurological Conditions (PARC)
01/09/2018 → 31/08/2019
Research
MICA: Towards using historical data for research prioritisation in children
08/06/2015 → 30/09/2018
Research
HMT: Accuracy Vs. Precision - Developing Optimal Estimators for Trials with Multiple Hypothesis Tests
01/02/2015 → 31/07/2018
Research
Bayesian Adaptive Designs for Multiple Ascending Dose Stuides (Fellowship Extension)
28/01/2015 → 31/12/2017
Research
IDEAS: Improving Design, Evaluation and Analysis of early drug development Studies
01/01/2015 → 31/12/2018
Research
Improving the design and analysis of antimalarial drug clinical trials
01/11/2014 → 31/10/2017
Research
PITE: Heterogeneity in Treatment Effects: Can Modelling Techniques Provide Personalised Prediction of Treatment Response and Uncover Groups of Respondents
01/10/2014 → 30/03/2018
Research
Extrapolation Approaches in Paediatric Drug Development: Current Practices
06/01/2014 → 05/01/2015
Research
MRC NW Hub for Trials Methodology Research
01/10/2013 → 30/09/2018
Research
Towards Full Use of Available Data to Improve Clinical Outcome Prediction
01/10/2013 → 30/09/2014
Research
Developing and refining methods of analysing malaria genetic data obtained from infected human blood samples
01/06/2013 → 31/05/2016
Research
Adaptive Designs for Multiple Ascending Dose Studies
01/10/2012 → 31/01/2016
Research
Designing and analysing multi-arm multi stage clinical trials with one or more endpoints
01/09/2012 → 30/06/2016
Research
Cross-Hub research visits to discuss improving multi-arm, multi stage clinical trials
01/05/2011 → 31/12/2011
Research
Risk in Context: New Methodology for Modelling Risk in Context
01/04/2011 → 31/03/2019
Research
Career Development Fellow
01/03/2011 → 28/02/2015
Research
Medical and Social Statistics
- DSI - Health
- Medical and Pharmaceutical Statistics Research Unit
- Medical and Social Statistics
- STOR-i Centre for Doctoral Training