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. 2019 Jul 31;15(7):e1007172. doi: 10.1371/journal.pcbi.1007172

Fig 4. Parameter importance ranking (RMS) for full and identifiable model.

Fig 4

We ranked the impact of each parameter on all three observable model outputs (N, M1, and M2) by calculating a root mean square sensitivity measure, as defined in Brun et al. [34]. The sensitivity threshold was set at 5% of the maximum RMS value calculated over all parameters. Eight parameters in the full model were thus deemed insensitive and fixed in step 2 of our identifiability analysis. The inset plot shows RMS values for the identifiable model.