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Printable Handouts
Navigable Slide Index
- Introduction
- Preface
- Overview
- Multiple testing - the problem
- Combining p-values
- Power of combining p-values
- Issues with combining p-values
- Modeling true gene effects
- Issues with modeling true effects
- False discovery rate
- False discovery variance
- Variance of BH method
- Other approaches to the variance
- Power and sample size for FDR
- Sample sizes to detect at least one SNP
- Other error measures
- Q-values vs. local FDR
- False positive report probability
- Multiple correlated tests
- Standard permutation test
- Fitting analytic distributions
- Simulating correlated p-values
- Summary
- References
Topics Covered
- Multiplicity
- Combining evidence
- False discovery rate
- Q-value and local FDR
- False positive report probability
- Permutation testing
Talk Citation
Dudbridge, F. (2007, October 1). Detecting multiple associations in genome-wide studies [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 3, 2024, from https://doi.org/10.69645/VCYH8764.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Frank Dudbridge has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.