most citedA nonparametric approach to practical identifiability of nonlinear mixed effects models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.QM2026

Reduced-Precision Stochastic Simulation for Mathematical Biology

Tom Kimpson, Mark B. Flegg, Jennifer A. Flegg

The stochastic simulation algorithm (SSA) is widely used to perform exact forward simulation of discrete stochastic processes in biology. However, the computational cost, driven by…

stat.ME2025★ 1 cited

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…

stat.ME2025

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…

stat.ME2025

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…

q-bio.PE2025

Sunlight-heated refugia protect frogs from chytridiomycosis: a mathematical modelling study

Claire M. Miller, Michael J. Lydeamore, Lee Berger +4

The fungal disease Chytridiomycosis poses a threat to frog populations worldwide. It has driven over 90 amphibian species to extinction and severely affected hundreds more. Difficu…