18 citations · 51 across the 10 of their papers we have counts for
4 papers · 1 filter
Geometric analysis enables biological insight from complex non-identifiable models using simple surrogates
Alexander P Browning, Matthew J Simpson
An enduring challenge in computational biology is to balance data quality and quantity with model complexity. Tools such as identifiability analysis and information criterion have…
Efficient inference and identifiability analysis for differential equation models with random parameters
Alexander P. Browning, Christopher Drovandi, Ian W. Turner +2
Heterogeneity is a dominant factor in the behaviour of many biological processes. Despite this, it is common for mathematical and statistical analyses to ignore biological heteroge…
Population Calibration using Likelihood-Free Bayesian Inference
Christopher Drovandi, Brodie Lawson, Adrianne L Jenner +1
In this paper we develop a likelihood-free approach for population calibration, which involves finding distributions of model parameters when fed through the model produces a set o…
Predicting radiotherapy patient outcomes with real-time clinical data using mathematical modelling
Alexander P. Browning, Thomas D. Lewin, Ruth E. Baker +5
Longitudinal tumour volume data from head-and-neck cancer patients show that tumours of comparable pre-treatment size and stage may respond very differently to the same radiotherap…