Dr Jaki joined Lancaster University in 2007 and now is a Reader in Statistics. He became involved in medical statistics through various pre-clinical projects during his PhD and has focused his research on pre-clinical and early phase clinical trials ever since. He is a Career Development Fellow of the National Institute for Health Research (NIHR) and an investigator of the MRC's North-West Hub for clinical trial methodology research. In his research which focuses on adaptive designs for early phase clinical trials and pre-clinical statistics he works closely with pharmaceutical companies and public sector research institutions.
- Adaptive and sequential designs
- Pre-clinical Statistics
- Early Phase Studies
- Sperrin, M., Jaki, T., ( 2010 ). Direct effects testing: A two-stage procedure to test for effect size and variable importance for correlated binary predictors and a binary response . Statistics in Medicine 29, 2544–2556
- Jaki, T., Pallmann, P., Wolfsegger, M. J., ( 2013 ). Estimation in AB/BA cross-over trials with application to bioequivalence studies with incomplete and complete data designs . Statistics in Medicine. 32(30):5469-5483
- Magirr, D., Jaki, T., Posch, M., Klingelmueller, F., ( 2013 ). Simultaneous confidence intervals that are compatible with closed testing in adaptive designs . Biometrika. 100(4):985-996.