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
Citations
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Mathematical analysis of the transmission dynamics of the liver fluke, Opisthorchis viverrini.
Christine Bürli,Christine Bürli,Helmut Harbrecht,Peter Odermatt,Somphou Sayasone,Nakul Chitnis +5 more
TL;DR: Two population-based models of the transmission dynamics of the worm parasite Opisthorchis viverrini show that humans are necessary to maintain transmission and can sustain transmission without additional reservoir hosts, and interventions targeting humans could be sufficient to interrupt transmission.
Journal ArticleDOI
A Novel Computational Model Predicts Key Regulators of Chemokine Gradient Formation in Lymph Nodes and Site-Specific Roles for CCL19 and ACKR4.
TL;DR: This article incorporated multiple biochemical processes describing the CCL19–CCL21–CCR7–ACKR4 network into the model of LN fluid flow to establish a computational model to investigate intranodal chemokine gradients and generated new testable hypotheses and alternative interpretations of experimental data.
Journal ArticleDOI
Modeling Progress Toward Elimination of Hepatitis B in Australia
Karen McCulloch,Nicole Romero,Nicole Romero,Jennifer H MacLachlan,Jennifer H MacLachlan,Nicole Allard,Nicole Allard,Benjamin C Cowie,Benjamin C Cowie +8 more
TL;DR: This poster focuses on Australia, which has committed to national targets of 80% diagnosed, 20% on treatment, and a 30% reduction in deaths by 2022.
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Optimal surveillance strategies for bovine tuberculosis in a low-prevalence country.
Kimberly VanderWaal,Eva A. Enns,Catalina Picasso,Julio Alvarez,Andres M. Perez,Federico Fernandez,Andres Gil,Meggan E. Craft,Scott J. Wells +8 more
TL;DR: An integrated within- and between-farm bTB transmission model utilizing data from Uruguay's comprehensive animal movement database is developed to investigate the efficacy of targeted surveillance and can inform the design of more cost-effective surveillance programs to detect and control bTB in Uruguay and other countries with low bTB prevalence.
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Mathematical modeling in scheduling cancer treatment with combination of VEGF inhibitor and chemotherapy drugs.
Xiulan Lai,Avner Friedman +1 more
TL;DR: It is found that the treatment of cancer would be far more effective if the two drugs are given non-overlappingly, with the chemotherapy drug at day 0 and anti-VEGF at day 7 in cycles of 21 days.
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.