Abstract
Why and when do p-value adjustment makes sense? Some methods for adjusting p-values are discussed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Statist Soc B 57(1):289–300
Benjamini Y, Yekutieli D (2005) False discovery rate–adjusted multiple confidence. J Am Stat Assoc 100(469):71–81
Hsu J (1996) Multiple comparisons: theory and methods. Chapman and Hall/CRC, Boca Raton
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Pardo, S. (2020). Multiplicity and Multiple Comparisons. In: Statistical Analysis of Empirical Data. Springer, Cham. https://doi.org/10.1007/978-3-030-43328-4_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-43328-4_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-43327-7
Online ISBN: 978-3-030-43328-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)