Global sensitivity analysis of nonlinear chemical kinetic equations using lie groups: I. Determination of one-parameter groups

1989 ◽  
Vol 3 (3) ◽  
pp. 243-259 ◽  
Author(s):  
C. E. Wulfman ◽  
H. Rabitz
Keyword(s):  
Sensitivity Analysis ◽  
Lie Groups ◽  
Global Sensitivity Analysis ◽  
Kinetic Equations ◽  
Chemical Kinetic ◽  
Global Sensitivity

Global sensitivity analysis for the determination of parameter importance in the chromatographic purification of polyclonal antibodies

2008 ◽  
Vol 83 (2) ◽  
pp. 201-208 ◽  
Author(s):  
Sunil Chhatre ◽  
Richard Francis ◽  
Anthony R Newcombe ◽  
Yuhong Zhou ◽  
Nigel Titchener-Hooker ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Global Sensitivity Analysis ◽  
Polyclonal Antibodies ◽  
Chromatographic Purification ◽  
Global Sensitivity

Global Sensitivity Analysis for the determination of parameter importance in bio-manufacturing processes

2008 ◽  
Vol 51 (2) ◽  
pp. 79 ◽  
Author(s):  
Sunil Chhatre ◽  
Richard Francis ◽  
Anthony R. Newcombe ◽  
Yuhong Zhou ◽  
Nigel Titchener-Hooker ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Global Sensitivity Analysis ◽  
Manufacturing Processes ◽  
Global Sensitivity

scholarly journals Considerations and Caveats when Applying Global Sensitivity Analysis Methods to Physiologically Based Pharmacokinetic Models

2020 ◽  
Vol 22 (5) ◽  
Author(s):  
Dan Liu ◽  
Linzhong Li ◽  
Amin Rostami-Hodjegan ◽  
Frederic Y. Bois ◽  
Masoud Jamei
Keyword(s):  
Sensitivity Analysis ◽  
Plasma Concentration ◽  
Global Sensitivity Analysis ◽  
Model Parameters ◽  
Model Parameter ◽  
Global Sensitivity ◽  
Physiologically Based ◽  
The Impact ◽  
Influential Parameters

Abstract Three global sensitivity analysis (GSA) methods (Morris, Sobol and extended Sobol) are applied to a minimal physiologically based PK (mPBPK) model using three model drugs given orally, namely quinidine, alprazolam, and midazolam. We investigated how correlations among input parameters affect the determination of the key parameters influencing pharmacokinetic (PK) properties of general interest, i.e., the maximal plasma concentration (Cmax) time at which Cmax is reached (Tmax), and area under plasma concentration (AUC). The influential parameters determined by the Morris and Sobol methods (suitable for independent model parameters) were compared to those determined by the extended Sobol method (which considers model parameter correlations). For the three drugs investigated, the Morris method was as informative as the Sobol method. The extended Sobol method identified different sets of influential parameters to Morris and Sobol. These methods overestimated the influence of volume of distribution at steady state (Vss) on AUC24h for quinidine and alprazolam. They also underestimated the effect of volume of liver (Vliver) for all three drugs, the impact of enzyme intrinsic clearance of CYP2C9 and CYP2E1 for quinidine, and that of UGT1A4 abundance for midazolam. Our investigation showed that the interpretation of GSA results is not straightforward. Dismissing existing model parameter correlations, GSA methods such as Morris and Sobol can lead to biased determination of the key parameters for the selected outputs of interest. Decisions regarding parameters’ influence (or otherwise) should be made in light of available knowledge including the model assumptions, GSA method limitations, and inter-correlations between model parameters, particularly in complex models.

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