4 papers · 1 filter
A Bayesian Longitudinal Model for Imputing Item-Level Missing Data in Trial-Based Economic Evaluations
Xiaoxiao Ling, Andrea Gabrio, Gianluca Baio
Trial-based economic evaluations are widely used to assess the cost-effectiveness of healthcare interventions and inform decision-making. Cost and effectiveness outcomes are typica…
A Bayesian Approach for Nonignorable Dropout in Bivariate Longitudinal Models
Andrea Gabrio, Michael J. Daniels, Gianluca Baio
Longitudinal data collected in clinical trials are almost always incomplete due to some of the participants dropping out from the study during the planned follow-up. A common strat…
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…
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…