Practical identifiability analysis of a mechanistic model for the time to distant metastatic relapse and its application to renal cell carcinoma
Fig 5
Results of the mathematical model applied to the clinical dataset.
A) Goodness-of-fit between the model without covariates and the Kaplan-Meier estimator of the clinical data. B) Goodness-of-fit between the model with the effect of FG in μ and the data separated by FG groups. Individual μi distributions according to values of C) Führman Grade, D) MMR, E) GPRC5a F) Goodness-of-fit for the model with a constant and linear effect in μ for the covariate MMR. The different subfigures are the fits obtained for different thresholds. Dashed lines correspond to the clinical data and solid lines correspond to simulations. Blue lines are the results for group 1 (MMRi < threshold) and red lines for group 2 (MMRi ≥ threshold). G) Goodness-of-fit of the fit between the model with a group effect in μ for the covariate GPRC5a.