3 papers
stat.ME2025
Diffusion piecewise exponential models for survival extrapolation using Piecewise Deterministic Monte Carlo
Luke Hardcastle, Samuel Livingstone, Gianluca Baio
The piecewise exponential model is a flexible non-parametric approach for time-to-event data, but extrapolation beyond final observation times typically relies on random walk prior…
stat.ME2024
Averaging polyhazard models using Piecewise deterministic Monte Carlo with applications to data with long-term survivors
Luke Hardcastle, Samuel Livingstone, Gianluca Baio
Polyhazard models are a class of flexible parametric models for modelling survival over extended time horizons. Their additive hazard structure allows for flexible, non-proportiona…
stat.AP2022
A Bayesian hierarchical model for improving exercise rehabilitation in mechanically ventilated ICU patients
Luke Hardcastle, Samuel Livingstone, Claire Black +2
Patients who are mechanically ventilated in the intensive care unit (ICU) participate in exercise as a component of their rehabilitation to ameliorate the long-term impact of criti…