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A nonparametric approach to practical identifiability of nonlinear mixed effects models
Tyler Cassidy, Stuart T. Johnston, Michael Plank +4
Mathematical modelling is a widely used approach to understand and interpret clinical trial data. This modelling typically involves fitting mechanistic mathematical models to data…
A cautionary tale of model misspecification and identifiability
Alexander P Browning, Jennifer A Flegg, Ryan J Murphy
Mathematical models are routinely applied to interpret biological data, with common goals that include both prediction and parameter estimation. A challenge in mathematical biology…
Quantifying structural uncertainty in chemical reaction network inference
Yong See Foo, Adriana Zanca, Jennifer A. Flegg +1
Dynamical systems in biology are complex, and one often does not have comprehensive knowledge about the interactions involved. Chemical reaction network (CRN) inference aims to ide…