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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.
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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.

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A delay nonautonomous model for the impacts of fear and refuge in a three species food chain model with hunting cooperation

TL;DR: It is found that the fear of middle-predator on prey has tendency to stabilize the system while theFear of top-predators on middle-Predator creates instability in the system.
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Global sensitivity analysis of PROSAIL model parameters when simulating Moso bamboo forest canopy reflectance

TL;DR: In this paper, the authors compared two global sensitivity analysis GSA methods, the Extended Fourier Amplitude Sensitivity Test EFAST method and the Morris method, and field measurements, and Landsat 5 Thematic Mapper TM data for a Moso bamboo forest.
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Evaluating the potential impact of mass praziquantel administration for HIV prevention in Schistosoma haematobium high-risk communities.

TL;DR: It is shown that the exacerbation of HIV transmission due to FGS and the probability of developing FGS as a result of childhood infection with S. haematobium, were the most important factors in determining the effectiveness of praziquantel MDA for reducing HIV transmission.
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A transmission model for the ecology of an avian blood parasite in a temperate ecosystem.

TL;DR: A mathematical model is developed to explore and identify the ecological factors that most influence transmission of the common avian parasite, Leucocytozoonfringillinarum (Apicomplexa), and found that relapse of adult birds and young of the year birds were crucial for parasite persistence across multiple seasons.
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Autologous Stem Cell Transplantation Disrupts Adaptive Immune Responses during Rebound Simian/Human Immunodeficiency Virus Viremia.

TL;DR: While primary infection generates an adaptive immune memory response, stem cell transplantation disrupts this learned immunity, and this model will provide insight into further studies of cure strategies inspired by the Berlin patient.
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

Max D. Morris
- 01 Jan 1992 - 
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.
Journal ArticleDOI

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.
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