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Transformation, Normalization, and Batch Effect in the Analysis of Mass Spectrometry Data for Omics Studies Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Statistical Analysis of Lipidomics Data in a Case-Control Study

Authors : Bart J. A. Mertens, Susmita Datta, Thomas Hankemeier, Marian Beekman, Hae-Won Uh

Published in: Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry

Publisher: Springer International Publishing

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Abstract

We investigate variable-dimension modeling to assess effect of lipids in a case-control study. Use of multiple imputation on partially observed or incomplete data is discussed. It is demonstrated how the model allows us to investigate lipid selection and co-selection for association with the case-control outcome. The Leiden Longevity lipid study data is used to illustrate the methods.

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previous chapter On the Combination of Omics Data for Prediction of Binary Outcomes
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Metadata
Title
Statistical Analysis of Lipidomics Data in a Case-Control Study
Authors
Bart J. A. Mertens
Susmita Datta
Thomas Hankemeier
Marian Beekman
Hae-Won Uh
Copyright Year
2017
Book
Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry

Print ISBN: 978-3-319-45807-6

Electronic ISBN: 978-3-319-45809-0

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-45809-0_15

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