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We work on real world health applications which provide the focus for novel methodologies and theoretical foundations

What we work on

Our work largely sits at the intersection of statistics and health applications, with a particular focus on robustness and model misspecification, causal inference, Bayesian inference and decision theory.

Who we are

We are a friendly and inclusive group of researchers from broad range of backgrounds including, statistics, epidemiology, computer science, biology and maths. We value careful research and have a shared belief that working on real world applications is the best way to develop useful methods.

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