Data for: Why So Many Published Sensitivity Analyses Are False.   A Systematic Review of Sensitivity Analysis Practices

Name: Data for: Why So Many Published Sensitivity Analyses Are False. A Systematic Review of Sensitivity Analysis Practices
Creator: andrea saltelli
Published: 2019-01-23T19:48:06.309Z
Keywords: Natural Sciences

saltelli, andrea; Holst, Niels; Li, Sushan; Becker, William; Fennell, Pamela; Aleksankina, Ksenia; Wu, Qiongli

doi:10.17632/v2ytcvkmnw.1

Data for: Why So Many Published Sensitivity Analyses Are False. A Systematic Review of Sensitivity Analysis Practices

Published: 23 January 2019| Version 1 | DOI: 10.17632/v2ytcvkmnw.1

Contributors:

andrea saltelli, Niels Holst, Sushan Li, William Becker, Pamela Fennell, Ksenia Aleksankina, Qiongli Wu

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This is the data base containing the papers retained for the analysis, with the charts of results

Data for: Why So Many Published Sensitivity Analyses Are False. A Systematic Review of Sensitivity Analysis Practices

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