The IMPaCT lab is developing novel statistical methodology to improve the design of Bayesian clinical trials. We focus on a range of different trial designs and goals including, dose finding studies, which aim to determine the optimal dose of use in future randomised trials, and platform trials, w aim to minimize patient burden by efficiently answering multiple research questions within a single framework. We are also developing methodology to address the computational barriers to Bayesian adaptive trial design.
This methodological work is supported by CANSSI. CANSSI is Canada’s catalyst for discovery and innovation in statistical sciences and for advances in collaborative research and training. CANSSI programs support the pursuit of cutting-edge collaborative research involving statistical sciences along with the communication and application of the results to science, engineering, and society. CANSSI is supported under the Discovery Institutes Support program of the Natural Sciences and Engineering Research Council of Canada.
The IMPaCT lab also supports a range of applied Bayesian clinical trials to implement these methodological developments in practice.
Learn more about Statistical Design of Bayesian Adaptive Clinical Trials