Applying a global sensitivity analysis approach to reduce parameter dimensionality in physiologically based kinetic modeling and evaluate the robustness of the algorithm under the given sampling number.
Details
The "extended Fourier amplitude sensitivity testing (eFAST)", a variance-based sensitivity analysis method is used to estimate the parameter impact on model output (Saltelli et al. 1999). The eFAST is the effective algorithm to determine the influential parameter in physiologically-based pharmacokinetic model calibration (Hsieh et al. 2018). The eFAST algorithm is sourced from sensitivity package but implemented the random-phase shift to evaluating the robustness of sensitivity measurement under the given sample size.
References
Saltelli, A., Tarantola, S., & Chan, K. S. (1999). A quantitative model-independent method for global sensitivity analysis of model output. Technometrics, 41, 39-56.
Hsieh, N. H., Reisfeld, B., Bois, F. Y., & Chiu, W. A. (2018). Applying a global sensitivity analysis workflow to improve the computational efficiencies in physiologically-based pharmacokinetic modeling. Frontiers in Pharmacology, 9, 588.
Hsieh, N-H., Reisfeld B., and Chiu W.A., (2020). pksensi: An R package to apply global sensitivity analysis in physiologically based kinetic modeling SoftwareX, 12, 100609.