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Global sensitivity analysis of biological multiscale models
6 references·1 citing·27 second hop
Global sensitivity analysis of biological multiscale models (2019)Global sensitivity analysis of biological…Simulation: The Practice of Model Development and Use (2014)Simulation: The Practice of M…Global Sensitivity Analysis Challenges in Biological Systems Modeling (2009)Global Sensitivity Analysis C…Derivative based global sensitivity measures and their link with global sensitivity indices (2009)Derivative based global sensi…Sensitivity analysis of spatial models (2008)Sensitivity analysis of spati…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comparison of Three Methods f…Challenges and opportunities in uncertainty quantification for healthcare and biological systems (2025)Challenges and opportunities …Systems Thinking, Systems Practice (1981)Simulation Modeling and Analysis. (1983)Empirical Model Building and Response Surfaces (1988)Conceptual modelling for simulation Part I: definition and requirements (2007)The application of discrete event simulation and system dynamics in the logistics and supply chain context (2011)Theory of Change: a theory-driven approach to enhance the Medical Research Council's framework for complex interventions (2014)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Making best use of model evaluations to compute sensitivity indices (2002)Derivative based global sensitivity measures (2010)Model‐based design of experiments for cellular processes (2013)Fast surrogate modeling using dimensionality reduction in model inputs and field output: Application to additive manufacturing (2020)Global Sensitivity Analysis. The Primer (2007)From screening to quantitative sensitivity analysis. A unified approach (2011)Sensitivity analysis for volcanic source modeling quality assessment and model selection (2012)What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in E arth and E nvironmental systems models (2015)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study (2013)The Complexities of Agent-Based Modeling Output Analysis (2015)A risk-based multi-criteria spatial decision analysis for solar power plant site selection in different climates: A case study in Iran (2019)Design and Analysis of Computer Experiments (1989)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)A distribution-free approach to inducing rank correlation among input variables (1982)Uniform Design: Theory and Application (2000)
this work references cited by second hop

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 2014Simulation: The Practice of Model Development and Use855 cited
  • 2009Derivative based global sensitivity measures and their link with global sensitivity indices446 cited
  • 2008Sensitivity analysis of spatial models277 cited
  • 2009Global Sensitivity Analysis Challenges in Biological Systems Modeling144 cited

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  • 2025Challenges and opportunities in uncertainty quantification for healthcare and biological systems16 cited

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