This thesis discusses the theoretical and practical basis of multiple hypothesis testing. Multiple testing is a statistical procedure widely used in many fields including biology, genetics, medicine and finance. This thesis describes the main approaches to multiple testing designed to control the Family-Wise Error Rate or the False Discovery Rate. A simulation study is carried out to compare and contrast the multiple testing methods on synthetic data inspired by genome-wide studies in oncology. Finally, a case study is used to further highlight benefits and limits of the methodology discussed in the thesis.
A Comparative Study of Multiple Testing
Santello, Veronica
2022/2023
Abstract
This thesis discusses the theoretical and practical basis of multiple hypothesis testing. Multiple testing is a statistical procedure widely used in many fields including biology, genetics, medicine and finance. This thesis describes the main approaches to multiple testing designed to control the Family-Wise Error Rate or the False Discovery Rate. A simulation study is carried out to compare and contrast the multiple testing methods on synthetic data inspired by genome-wide studies in oncology. Finally, a case study is used to further highlight benefits and limits of the methodology discussed in the thesis.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.14247/6414