Tushar Srivastava |
In particular, he wishes to explore the following two topic areas: current methodologies for estimating transition probabilities (TPs) in state transition models and the potential role of causal inference (CI) in this context. CI methods estimate causal effects in the presence of confounding and could be useful when TPs are estimated from data which are prone to confounding e.g. from observational data or post-randomisation RCT data.
Dr Nick Latimer and Prof. Paul Tappenden will be Tushar's supervisor during the award period.