Overview
- Concise treatment of theoretical and practical properties of the false discovery rate (FDR)
- Detailed examples from the life sciences, accompanied by software solutions
- Includes latest developments of simultaneous statistical inference methods for a variety of non-standard situations
- Includes supplementary material: sn.pub/extras
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About this book
This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (FDR) and related error measures, particularly addressing applications to fields such as genetics, proteomics, neuroscience and general biology. The book will also include a detailed description how to implement these methods in practice. Moreover new developments focusing on non-standard assumptions are also included, especially multiple tests for discrete data. The book primarily addresses researchers and practitioners but will also be beneficial for graduate students.
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Table of contents (12 chapters)
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Front Matter
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General Theory
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Front Matter
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From Genotype to Phenotype
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Front Matter
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Further Applications in the Life Sciences
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Front Matter
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Back Matter
Reviews
“Thorsten Dickhaus’ Simultaneous Statistical Inference is without a doubt the most thorough yet concise roundup of multiple-test procedures that has come out in many years. … It is all the more worthwhile reading for statistical researchers, who will be guided through the maze of multiple-testing approaches that have accumulated over the past decades. … a rich source of inspiration for anyone who has some mathematical background and seeks a deep understanding of state-of-the-art simultaneous inference.” (Philip Pallmann, Biometrical Journal, Vol. 57 (6), 2015)
Authors and Affiliations
Bibliographic Information
Book Title: Simultaneous Statistical Inference
Book Subtitle: With Applications in the Life Sciences
Authors: Thorsten Dickhaus
DOI: https://doi.org/10.1007/978-3-642-45182-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-642-45181-2Published: 05 February 2014
Softcover ISBN: 978-3-662-51006-3Published: 27 August 2016
eBook ISBN: 978-3-642-45182-9Published: 23 January 2014
Edition Number: 1
Number of Pages: XIV, 180
Number of Illustrations: 9 b/w illustrations, 10 illustrations in colour
Topics: Biostatistics, Statistical Theory and Methods, Mathematical and Computational Biology, Data Mining and Knowledge Discovery, Biomedical Engineering and Bioengineering