Fig. 2: Parameter estimation and identifiability. | npj Systems Biology and Applications

Fig. 2: Parameter estimation and identifiability.

From: Evaluating PSA dynamics for predicting androgen deprivation failure with a patient specific prostate cancer model

Fig. 2

a Best fit (blue curve) of model parameters (\({\mu }_{n}^{on},{\mu }_{m}^{on},{\rho }_{n},\) and ρm) to PSA serum time-course data for patient UM10001 (red asterisks). The data point associated with ADT failure is circled. b–e Twice the negative log-likelihood (NLL) is plotted as a function of the fold change in each profiled parameter. Horizontal dashed black lines denote profile-likelihood 95% confidence bounds for each parameter.

Back to article page