Multiple Testing Procedures with Applications to Genomics
Specifically, the book proposes resampling-based single-step and stepwise multiple testing procedures for controlling a broad class of Type I error rates, defined as tail probabilities and expected values for arbitrary functions of the numbers of Type I errors and rejected hypotheses (e.g., false di...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2008, 2008
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| Edition: | 1st ed. 2008 |
| Series: | Springer Series in Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Multiple Hypothesis Testing
- Test Statistics Null Distribution
- Overview of Multiple Testing Procedures
- Single-Step Multiple Testing Procedures for Controlling General Type I Error Rates, ?(Fvn)
- Step-Down Multiple Testing Procedures for Controlling the Family-Wise Error Rate
- Augmentation Multiple Testing Procedures for Controlling Generalized Tail Probability Error Rates
- Resampling-Based Empirical Bayes multiple Testing Procedures for Controlling Generalized Tail Probability Error Rates
- Simulation Studies: Assessment of Test Statistics Null Distributions
- Identification of Differentially Expressed and Co-Expressed Genes in High-Throughput Gene Expression Experiments
- Multiple Tests of Association with Biological Annotation Metadata
- HIV-1 Sequence Variation and Viral Replication Capacity
- Genetic Mapping of Complex Human Traits Using Single Nucleotide Polymorphisms: The ObeLinks Project
- Software Implementation