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Printable Handouts
Navigable Slide Index
- Introduction
- Main questions
- Talk outline
- Hypothesis testing
- Ruling out artefacts
- Asymptotic p values
- Interpreting p values
- Criticisms of p values
- Multiple testing
- Problems with Bonferroni adjustments
- Results of a genome-wide meta-analysis
- Permutation testing
- How permutation work (1)
- How permutation work (2)
- How permutation work (3)
- Permutation testing in PLINK
- Permutation testing - other study designs
- Bayes factors - description
- Calculating Bayes factors - likelihood
- Priors
- Thresholding Bayes factors
- Bayes factors - limitations
- p values vs. Bayes factors
- Replication
- Guidelines for replication studies
- Acknowledgements
Topics Covered
- Hypothesis testing
- Ruling out artefactual associations
- Asymptotic P values and problems with interpretation
- Multiple testing and Bonferroni corrections
- Permutation, pointwise and genomewise significance
- Bayes factors
- Comparison between P values and Bayes factors
- Replication studies
Links
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Talk Citation
Evans, D. (2008, June 4). Assessing significance in genome-wide studies [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved November 4, 2024, from https://doi.org/10.69645/LVCZ1784.Export Citation (RIS)
Publication History
Financial Disclosures
- Dr. David Evans has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.