On Wednesday, February 5th at 04:00 p.m., we will be hosting Dr Samuel Livingstone, University College London, who is an expert in Bayesian computing, with a particular focus on the Markov chain-based Monte Carlo method.

Dr. Samuel Livingstone will give a very interesting lecture: “Survival Analysis for Health Technology Assessment: new Bayesian approaches to Modelling and Computation”.

Survival analysis, the study of time-to-event data, is critical to understanding patient outcomes in different healthcare contexts. In the Health Technology Assessment (HTA), accurate survival forecasts form the basis for decisions on the cost-effectiveness and long-term value of new interventions. This lecture will discuss some novel Bayesian approaches to matching survival models that offer a principled framework for model selection and extrapolation while providing calibrated uncertainty estimates necessary for decision making. By incorporating earlier information and systematically processing complex data structures, Bayesian methods provide more reliable and interpretable survival predictions. Key motivational uses include survival time of stroke survivors and kidney transplant patients, which show how these methods can improve the assessment of medical technologies by supporting more informed policy and clinical decisions.

The seminar will be held remotely using the Zoom platform. Link to the event: https://polsl-pl.zoom.us/j/92878940094?pwd=T1ZRWGpCSE5JRjZQV3cxaEtGTUZUUT09

Meeting ID: 928 7894 0094 Access code: 303326