Comput Methods Programs Biomed - Privacy-preserving Kruskal-Wallis test.

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Resumo

Statistical tests are powerful tools for data analysis. Kruskal-Wallis test is a non-parametric statistical test that evaluates whether two or more samples are drawn from the same distribution. It is commonly used in various areas. But sometimes, the use of the method is impeded by privacy issues raised in fields such as biomedical research and clinical data analysis because of the confidential information contained in the data. In this work, we give a privacy-preserving solution for the Kruskal-Wallis test which enables two or more parties to coordinately perform the test on the union of their data without compromising their data privacy. To the best of our knowledge, this is the first work that solves the privacy issues in the use of the Kruskal-Wallis test on distributed data.

Resumo Limpo

statist test power tool data analysi kruskalw test nonparametr statist test evalu whether two sampl drawn distribut common use various area sometim use method imped privaci issu rais field biomed research clinic data analysi confidenti inform contain data work give privacypreserv solut kruskalw test enabl two parti coordin perform test union data without compromis data privaci best knowledg first work solv privaci issu use kruskalw test distribut data

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