27 citations · 32 across the 4 of their papers we have counts for
5 papers
Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds
Sam Coveney, Caroline H Roney, Cesare Corrado +4
Models of electrical excitation and recovery in the heart have become increasingly detailed, but have yet to be used routinely in the clinical setting to guide personalized interve…
Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity
Sam Coveney, Cesare Corrado, Caroline H Roney +7
In patients with atrial fibrillation, local activation time (LAT) maps are routinely used for characterising patient pathophysiology. The gradient of LAT maps can be used to calcul…
Incorporating genuine prior information about between-study heterogeneity in random effects pairwise and network meta-analyses
Shijie Ren, Jeremy E. Oakley, John W. Stevens
Background: Pairwise and network meta-analyses using fixed effect and random effects models are commonly applied to synthesise evidence from randomised controlled trials. The model…
Assurance for clinical trial design with normally distributed outcomes: eliciting uncertainty about variances
Ziyad A. Alhussain, Jeremy E. Oakley
The assurance method is growing in popularity in clinical trial planning. The method involves eliciting a prior distribution for the treatment effect, and then calculating the prob…
Calibration of Complex Computer Simulators using Likelihood Emulation
Jeremy E. Oakley, Benjamin D. Youngman
We calibrate a Natural History Model, which is a class of computer simulator used in the health industry, and here has been used to characterise bowel cancer incidence for the UK.…