University College London - Medical Research Council, Clinical Trials Unit

Turing Team: Karla Diaz-Ordaz, LSHTM (Co-Investigator) and Chris Holmes, Oxford (Principal Investigator)

Collaborators: Prof Ian White, UCL and Louise Brown, UCL

Description: This collaboration seeks to explore novel statistical machine learning methods for the identification of treatment effect heterogeneity in RCTs, and predictive models of personalised treatment effects. In the project, particular attention will be paid to issues around interpretability, reproducible research, validation of aritifical intelligence methods and the assessment of false discovery rates.

www.turing.ac.uk/research/research-projects/statistical-machine-learning-randomised-clinical-trials-mrc-ctu

(April 2020 - Present)

Current Project: Bayesian bootstrap for average treatment effect estimation

Further information: Available on request