Results 11 to 20 of about 55,839,926 (326)

Specifying exposure classification parameters for sensitivity analysis: family breast cancer history [PDF]

Clinical Epidemiology, 2009
Anne M Jurek,1,2 Timothy L Lash,3 George Maldonado41Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA; 2University of Minnesota Masonic Cancer Center, Minneapolis, MN, USA; 3Department of Epidemiology, Boston University School of ...
Anne M Jurek, Timothy L Lash, George Maldonado   +2 more
doaj   +1 more source

Stress Sensitivity Analysis of the Beam and Shell Finite Elements

Communications, 2009
The stress sensitivity analysis in conjunction with finite elements method represents an important tool for the influence analysis of the structural parameters.
Milan Saga, Milan Vasko
doaj   +2 more sources

Sensitivity analysis methods in the biomedical sciences. [PDF]

Mathematical Biosciences, 2020
Sensitivity analysis is an important part of a mathematical modeller's toolbox for model analysis. In this review paper, we describe the most frequently used sensitivity techniques, discussing their advantages and limitations, before applying each method
George Qian, Adam Mahdi
semanticscholar   +1 more source

NeuralSens: Sensitivity Analysis of Neural Networks [PDF]

Journal of Statistical Software, 2020
Neural networks are important tools for data-intensive analysis and are commonly applied to model non-linear relationships between dependent and independent variables.
Jaime Pizarroso, J. Portela, Antonio Muñoz   +2 more
semanticscholar   +1 more source

A review of sensitivity analysis practices in wind resource assessment

, 2021
A review of sensitivity analysis in wind resource assessment is presented, offering classifications by sensitivity analysis output variable (or model), method, application, country, and software.
O. Tsvetkova, T. Ouarda
semanticscholar   +1 more source

The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support

Environmental Modelling & Software, 2020
Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling. The tremendous potential benefits of SA are, however, yet to be fully realized, both for advancing mechanistic and data-driven modeling of human and natural ...
S. Razavi, A. Jakeman, Andrea Saltelli, C. Prieur, B. Iooss, E. Borgonovo, E. Plischke, Samuele Lo Piano, T. Iwanaga, W. Becker, S. Tarantola, J. Guillaume, J. Jakeman, H. Gupta, N. Melillo, G. Rabitti, V. Chabridon, Q. Duan, Xi-Fu Sun, S. Smith, Razi Sheikholeslami, Nasim Hosseini, M. Asadzadeh, A. Puy, S. Kucherenko, H. Maier   +25 more
semanticscholar   +1 more source

Sensitivity Analysis in Observational Research: Introducing the E-Value

Annals of Internal Medicine, 2017
Key Summary Points Motivation: Observational studies that attempt to assess causality between a treatment and an outcome may be subject to unmeasured confounding.
T. VanderWeele, Peng Ding
semanticscholar   +1 more source

A Surrogate Model for Rapidly Assessing the Size of a Wildfire over Time

Fire, 2021
Rapid estimates of the risk from potential wildfires are necessary for operational management and mitigation efforts. Computational models can provide risk metrics, but are typically deterministic and may neglect uncertainties inherent in factors driving
Ujjwal KC, Jagannath Aryal, James Hilton, Saurabh Garg   +3 more
doaj   +1 more source

Sensitivity analysis methods for dynamical models [PDF]

, 2022
Sensitivity analysis methods are widely applied to study biological systems in order to investigate the effect of parameter change on the solutions of mathematical models.
Bergamo, Elena
core  

Sensitivity Analysis for Gaussian-Associated Features

Applied Sciences, 2022
This paper is concerned with the evaluation of the uncertainties associated with Gaussian-associated features following the GUM methodology. We show how sensitivity matrices necessary for a GUM uncertainty evaluation can be calculated and how the ...
Alistair Forbes
doaj   +1 more source