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Applying a Global Sensitivity Analysis Workflow to Improve the Computational Efficiencies in Physiologically-Based Pharmacokinetic Modeling
10 references·4 citing·32 second hop
Applying a Global Sensitivity Analysis Workflow to Improve the Computational Efficiencies in Physiologically-Based Pharmacokinetic Modeling (2018)Applying a Global Sensitivity Analysis Wo…SALib: An open-source Python library for Sensitivity Analysis (2017)SALib: An open-source Python …Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Sensitivity analysis of envir…Global Sensitivity Analysis of environmental models: Convergence and validation (2016)Global Sensitivity Analysis o…Better estimation of small sobol' sensitivity indices (2013)Better estimation of small so…Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs (2010)Global Sensitivity Analysis f…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…An effective screening design for sensitivity analysis of large models (2007)An effective screening design…Analysis of variance designs for model output (1999)Analysis of variance designs …A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Assessing input parameter hyperspace and parameter identifiability in a cardiovascular system model via sensitivity analysis (2024)Assessing input parameter hyp…Strategic model reduction by analysing model sloppiness: A case study in coral calcification (2022)Strategic model reduction by …Sensitivity analysis using Morris: Just screening or an effective ranking method? (2021)Sensitivity analysis using Mo…pksensi: An R package to apply global sensitivity analysis in physiologically based kinetic modeling (2020)pksensi: An R package to appl…Global Sensitivity Analysis (1995)Making best use of model evaluations to compute sensitivity indices (2002)Global Sensitivity Analysis. The Primer (2007)An efficient modularized sample-based method to estimate the first-order Sobol׳ index (2016)Introduction to Sensitivity Analysis (2017)To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications (2021)Importance measures in global sensitivity analysis of nonlinear models (1996)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Ratings and Rankings: Voodoo or Science? (2012)Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis (2015)Weights and importance in composite indicators: Closing the gap (2017)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)From screening to quantitative sensitivity analysis. A unified approach (2011)Variable importance analysis: A comprehensive review (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Design and Analysis of Computer Experiments (1989)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)How to avoid a perfunctory sensitivity analysis (2010)The Proof and Measurement of Association between Two Things (1904)Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models (2017)Distribution-based sensitivity analysis from a generic input-output sample (2018)What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling (2019)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)The Exploratory Modeling Workbench: An open source toolkit for exploratory modeling, scenario discovery, and (multi-objective) robust decision making (2017)Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses (2022)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Global sensitivity analysis using polynomial chaos expansions (2007)
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References

  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 cited
  • 2007An effective screening design for sensitivity analysis of large models2,024 cited
  • 2016Sensitivity analysis of environmental models: A systematic review with practical workflow1,722 cited
  • 2017SALib: An open-source Python library for Sensitivity Analysis1,544 cited
  • 1999Analysis of variance designs for model output648 cited
  • 2016Global Sensitivity Analysis of environmental models: Convergence and validation394 cited
  • 2010Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs242 cited
  • 2013Better estimation of small sobol' sensitivity indices127 cited

Cited by

  • 2021Sensitivity analysis using Morris: Just screening or an effective ranking method?64 cited
  • 2022Strategic model reduction by analysing model sloppiness: A case study in coral calcification16 cited
  • 2020pksensi: An R package to apply global sensitivity analysis in physiologically based kinetic modeling16 cited
  • 2024Assessing input parameter hyperspace and parameter identifiability in a cardiovascular system model via sensitivity analysis

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13 cited