A Methodology For Performing Global Uncertainty And Sensitivity Analysis In Systems Biology
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TLDR
This work develops methods for applying existing analytical tools to perform analyses on a variety of mathematical and computer models and provides a complete methodology for performing these analyses, in both deterministic and stochastic settings, and proposes novel techniques to handle problems encountered during these types of analyses.About:
This article is published in Journal of Theoretical Biology.The article was published on 2008-09-07 and is currently open access. It has received 2014 citations till now. The article focuses on the topics: Uncertainty analysis & Sensitivity analysis.read more
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Stochastic modeling of imperfect Salmonella vaccines in an adult dairy herd.
TL;DR: An effective vaccination program against Salmonella Cerro spread in the herd can be designed with vaccines with a single high efficacy in reducing either the infectious period or susceptibility of the host, or if such high efficacy vaccines are not available, vaccines with multiple moderate efficacies may be considered.
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Modeling of COVID-19 with limited public health resources: a comparative study of three most affected countries
TL;DR: In this article, a mathematical model where the infected are classified into two subcategories (asymptomatic and symptomatic) was proposed to account for the effect of limited medical resources for infected people and using face masks in combating the pandemic.
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A cholera metapopulation model interlinking migration with intervention strategies — a case study of zimbabwe (2008–2009)
TL;DR: The analysis suggests that there is no need to provide control measures for all the five provinces in Zimbabwe, and the control measures should be provided only to those provinces where in-migration flow is moderate, and such selective control measures which are also cost effective may reduce the overall cases and deaths.
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Global sensitivity analysis of a model related to memory formation in synapses: Model reduction based on epistemic parameter uncertainties and related issues.
TL;DR: The original model of CaMKII-NMDAR complex related to memory formation in synapses is reduced to a less complex model taking the most important biological processes into account and validated against the outputs of the original model.
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Age-specific mathematical model for tuberculosis transmission dynamics in South Korea
TL;DR: The results demonstrate that the overall outcomes of both age-groups improved in the period of 2012–2018 compared with that in theperiod of 2001–2011, and age-specific interventions should be implemented to reduce the overall TB incidence.
References
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Book
An Introduction to Multivariate Statistical Analysis
TL;DR: In this article, the distribution of the Mean Vector and the Covariance Matrix and the Generalized T2-Statistic is analyzed. But the distribution is not shown to be independent of sets of Variates.
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A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
TL;DR: In this paper, two sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies and they are shown to be improvements over simple sampling with respect to variance for a class of estimators which includes the sample mean and the empirical distribution function.
Journal Article
Factorial sampling plans for preliminary computational experiments
TL;DR: The proposed experimental plans are composed of individually randomized one-factor-at-a-time designs, and data analysis is based on the resulting random sample of observed elementary effects, those changes in an output due solely to changes in a particular input.
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Factorial sampling plans for preliminary computational experiments
TL;DR: In this article, the problem of designing computational experiments to determine which inputs have important effects on an output is considered, and experimental plans are composed of individually randomized one-factor-at-a-time designs, and data analysis is based on the resulting random sample of observed elementary effects.