Statistics: The Essentials

H.R.M.J. Wehrens, Pietro Franceschi

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

A basic understanding of statistics is essential in analyzing metabolomics data. In particular, the reasons behind common assumptions made in statistical inference, such as normally distributed data, should be understood. Because of the highly multivariate nature of metabolomics data, multiple-testing issues arise and should be dealt with appropriately. Multivariate analysis and visualization methods are easily applied now that they are commonly available in many software packages, but the interpretation of the results, and in particular the choices of data pretreatment and model selection, are less easily understood. This chapter discusses the basics of these and some other approaches.
Original languageEnglish
Title of host publicationMetabolomics: Practical Guide to Design and Analysis
EditorsRon Wehrens, Reza Salek
Place of PublicationNew York
PublisherChapman and Hall
Chapter6
Number of pages28
Edition1st
ISBN (Electronic)9781315370583
Publication statusPublished - 19 Aug 2019

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