TAILIEUCHUNG - Báo cáo y học: " Sampling and sensitivity analyses tools (SaSAT) for computational modelling"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: " Sampling and sensitivity analyses tools (SaSAT) for computational modelling | Theoretical Biology and Medical Modelling BioMed Central Open Access Software Sampling and sensitivity analyses tools SaSAT for computational modelling Alexander Hoare David G Regan and David P Wilson Address National Centre in HIV Epidemiology and Clinical Research The University of New South Wales Sydney New South Wales 2010 Australia Email Alexander Hoare - ahoare@ David G Regan - dregan@ David P Wilson - dwilson@ Corresponding author Published 27 February 2008 Received 17 September 2007 Theoretical Biology and Medical Modelling 2008 5 4 doi 1742-4682-5-4 Accepted 27 February 2008 This article is available from http content 5 1 4 2008 Hoare et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract SaSAT Sampling and Sensitivity Analysis Tools is a user-friendly software package for applying uncertainty and sensitivity analyses to mathematical and computational models of arbitrary complexity and context. The toolbox is built in Matlab a numerical mathematical software package and utilises algorithms contained in the Matlab Statistics Toolbox. However Matlab is not required to use SaSAT as the software package is provided as an executable file with all the necessary supplementary files. The SaSAT package is also designed to work seamlessly with Microsoft Excel but no functionality is forfeited if that software is not available. A comprehensive suite of tools is provided to enable the following tasks to be easily performed efficient and equitable sampling of parameter space by various methodologies calculation of correlation coefficients regression analysis factor prioritisation and graphical output of results including response surfaces .

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