most citedA closer look at parameter identifiability, model selection and handling of censored data with Bayesian Inference in mathematical models of tumour growth

13 citations · 13 across the 1 of their papers we have counts for

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q-bio.QM2023★ 13 cited

A closer look at parameter identifiability, model selection and handling of censored data with Bayesian Inference in mathematical models of tumour growth

Jamie Porthiyas, Daniel Nussey, Catherine A. A. Beauchemin +3

Mathematical models (MMs) are a powerful tool to help us understand and predict the dynamics of tumour growth under various conditions. In this work, we use 5 MMs with an increasin…